Academic literature on the topic 'Histologie quantitative'

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Journal articles on the topic "Histologie quantitative"

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Boly, H., MT Hochereau-de Reviers, P. Humblot, and M. Thibier. "Effets pathogènes de Trypanosoma congolense sur le testicule des taurins Baoulé : histologie quantitative et morphométrique." Reproduction Nutrition Development 33, no. 6 (1993): 541–50. http://dx.doi.org/10.1051/rnd:19930605.

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Marek, W., S. Krampe, N. J. Dickgreber, L. Nielsen, A. Muti, B. Khanavkar, K. M. Müller, Z. Atay, Th Topalidis, and J. A. Nakhosteen. "Automatisierte quantitative Image-Zytometrie bronchialer Spülflüssigkeiten bei Verdacht auf broncho-pulmonale Tumoren: Vergleich mit Zytologie, Histologie und klinischer Diagnose." Pneumologie 53, no. 12 (December 1999): 583–95. http://dx.doi.org/10.1055/s-1999-9047.

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Neuerburg, J., U. Fabry, U. Cremerius, G. Wagenknecht, D. Hellwig, R. Osieka, R. Günther, U. Büll, and R. Thill. "Vergleich der Befunde von 18-FDG- PET und CT beim prätherapeutischen Staging maligner Lymphome." Nuklearmedizin 36, no. 07 (1997): 234–39. http://dx.doi.org/10.1055/s-0038-1629839.

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Zusammenfassung Ziel: Vergleich der diagnostischen Aussagekraft von FDG-PET und CT zum Staging vor Therapie unter Berücksichtigung von Lokalisation, Durchmesser und Histologie der Läsion sowie Erfassung des FDG-Uptakes. Methoden: CT- und FDG-PET-Untersuchungen bei 27 Patienten mit histologisch gesichertem malignen Lymphom als Erstmanifestation oder Rezidiv wurden retrospektiv und unabhängig voneinander ausgewertet. CT-positive nodale Läsionen waren im Querdurchmesser (DCT) >15 mm. Bei visueller Auswertung in iterativ rekonstruierten PET-Studien gefundene fokale, unphysiologische FDG-Speicherungen wurden positiv gewertet und hinsichtlich Läsionsgröße (DPET) und partial-volumenkorrigierten standardisierten Uptake-Werten (SUV) quantifiziert. Eine Unterteilung der Läsionen erfolgte nach Histologie und Qualität (abgrenzbarer Lymphknoten, Konglomerattumor, extranodale Läsion). Ergebnis: CT beschrieb bei 26 Patienten 78 Läsionen, alle auch durch PET bestätigt. PET lokalisierte darüber hinaus weitere 18 Läsionen (+23%), bei hochmalignen Non-Hodgkin-Lymphomen (NHL) sogar +25%. Im Bereich des Halses sowie bei Lungenläsionen waren die Verfahren gleichwertig, bei der Beurteilung der übrigen Lymphknotenregionen sowie von Leber und Milz wies PET mehr Läsionen nach. Der SUV war bei hochmalignen NHL (19,0) signifikant höher als bei niedrigmalignen NHL und M. Hodgkin (10,6 bzw. 11,1). DCT und DPET korrelierten bei abgrenzbaren Lymphknoten signifikant (r = 0,75). Schlußfolgerung: FDG-PET ist der CT im Staging maligner Lymphome vor Therapie ebenbürtig bis überlegen. Hierzu ist eine qualitative Befundung ausreichend. Die zusätzliche quantitative Auswertung kann bei NHL einen Hinweis auf den Malignitätsgrad geben.
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Schröder, W., S. Wolters, U. Cremerius, W. Rath, U. Büll, and M. Zimny. "18F-Fluordeoxyglukose PET beim Ovarialkarzinom: Methodik und erste Ergebnisse." Nuklearmedizin 36, no. 07 (1997): 228–33. http://dx.doi.org/10.1055/s-0038-1629838.

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Zusammenfassung Ziel der vorliegenden Studie war die Evaluierung der PET mit 18F-Fluor-deoxyglukose in der Primär- und Rezidivdiagnostik von Ovarialkarzino-men. Methoden: Untersucht wurden 26 Patientinnen mit Verdacht auf primäres Ovarialkarzinom (n = 17) bzw. Rezidiwerdacht (n = 9). Die PET-Untersuchung von Abdomen und Becken erfolgte mit einem ECAT 953/15-Scanner beginnend 45 min nach i.v. Applikation von im Mittel 245 MBq 18FDG. Die PET-Ergebnisse wurden anhand von intraoperativem Befund, Histologie und Zytologie validiert. Ergebnisse: Der richtige Nachweis eines primären, malignen Ovarialtumors bzw. eines Rezidivs gelang in 16 von 19 Fällen, der Malignomausschluß in sechs von sieben Fällen. Falsch negative PET-Befunde wurden bei zwei Borderline-Karzinomen und einem gut differenzierten, serös-muzinösen Ovarialkarzinom erhoben. Ein falsch positiver PET-Befund ergab sich bei einer abszedierenden Salpingoophoritis. Die quantitative Analyse erbrachte einen SUV von 6,8 ± 2,3 für primäre, epitheliale Ovarialkarzinome gegenüber 2,6 ± 1,2 bei benignen, nicht entzündlichen Raumforderungen (p <0,05). Schlußfolgerung: Diese vorläufigen Ergebnisse zeigen, daß PET mit 18FDG zwar geeignet ist zur Rezidivdiagnostik von Ovarialkarzinomen, jedoch limitiert ist in der Differenzierung von Borderline-Karzinomen gegenüber benignen Veränderungen sowie malignen Tumoren des Ovars gegenüber entzündlichen Prozessen. Die quantitative Bildanalyse führt hierbei nicht zu einer Verbesserung der diagnostischen Genauigkeit.
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Bozzato, Alessandro, Johannes Zenk, Holger Greess, Joachim Hornung, Frank Gottwald, Christina Rabe, and Heinrich Iro. "Potential of ultrasound diagnosis for parotid tumors: Analysis of qualitative and quantitative parameters." Otolaryngology–Head and Neck Surgery 137, no. 4 (October 2007): 642–46. http://dx.doi.org/10.1016/j.otohns.2007.05.062.

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Objective Histology of parotid tumors determines the extent of surgery. The aim was to test ultrasound (US) contrast enhancer-kinetics to identify histologic entities, possibly being superior to qualitative morphological parameters. Study Design In a cross-sectional assessment of ultrasound diagnosis, the subjective US-classification was compared with contrast analysis with histology as gold standard. Subjects and Methods A total of 64 male and 61 female patients with a mean age of 54 years were included, with 13 malignant tumors. These were classified with US morphology, then time-dependent contrast medium analysis. Results A total of 92.8% of tumors were classified correctly as malignant or benign. The sensitivity, specificity, positive- and negative-predictive values were 66.7%, 86.3%, 60.6%, and 89.1% for differentiating Warthin tumors, but only 46.2%, 98.2%, 75%, and 94% for malignant lesions. Contrast parameters yielded significant parameters for benign tumors, not for malignant entities. Conclusion Although contrast medium analysis provided statistical criteria, these, however, do not possess the ability to improve the diagnostic prediction of tumor histology. Neither the morphologic classification nor contrast medium analysis was able to identify a malignant lesion sufficiently.
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Khalil, Farah, Hernani Cualing, Julia Cogburn, and Lili Miles. "The Criteria for Bone Marrow Recovery Post–Myelosuppressive Therapy for Acute Myelogenous Leukemia: A Quantitative Study." Archives of Pathology & Laboratory Medicine 131, no. 8 (August 1, 2007): 1281–89. http://dx.doi.org/10.5858/2007-131-1281-tcfbmr.

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Abstract Context.—Although the early post–myelosuppressive chemotherapy pathologic changes of the marrow have been described, the rate and the histologic definition of recovery are not defined. Objective.—To study the rate of recovery of bone marrow in patients given myelosuppressive therapy for acute myelogenous leukemia, establish the histologic criteria of recovered marrow, and correlate the recovery pattern with those patients who received a bone marrow transplant by using histology, peripheral blood, immunophenotyping, and computerized morphometry and mathematical slope equation. Design.—We studied the post–myelosuppression recovery of the bone marrow to determine patterns and rate of recovery in 135 serial bone marrow biopsies of 51 patients. These patients were divided into 2 groups: 1 group of 28 cases diagnosed with acute myeloid leukemia, the majority treated with cytarabine (Ara-C) infusion for 7 days and daunorubicin intravenously daily for 3 days (7+3 regimen), and the other control group of 23 cases treated with chemotherapy or allogeneic bone marrow transplantation for a variety of hematologic malignancies. All biopsies during the recovery period were obtained before consolidation regimen. We used morphometry to calculate the cellularity and myeloid to erythroid ratio and quantified megakaryocytes CD10 versus time from day 14 onward. The absolute neutrophil and platelet counts for 28 cases were related to histologic recovery. Results.—From day 14, we noted a differential slope of recovery of these patients with no difference in male and female patients, P = .45, but a difference between younger and older patients (&gt;58.5 years), P = .03. After regenerative hyperplasia, the cellularity plateaus, the myeloid to erythroid ratio, and the megakaryocytes even out with platelet normalization, and the early CD10+ B cells rise from day 40 onward, P = .01. The patterns of recovery after day 60 of postchemotherapy and posttransplantation patients are similar. Complete histologic and peripheral blood recovery is noted at day 38 and thereafter. Conclusions.—By linear equation using at least 2 trephine biopsy specimens, the projected rate of cellular recovery may be determined, and 5 histologic features are associated with complete histologic recovery.
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Fabregas, Neus, Antoni Torres, Mustafa El-Ebiary, Josep Ramirez, Carmen Hernandez, Julia Gonzalez, Jorge Puig de la Bellacasa, Jimenez de Anta, and Robert Rodriguez-Roisin. "Histopathologic and Microbiologic Aspects of Ventilator-associated Pneumonia." Anesthesiology 84, no. 4 (April 1, 1996): 760–71. http://dx.doi.org/10.1097/00000542-199604000-00002.

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Background The relationship between microbiology and histology in patients with ventilator-associated pneumonia has been sparsely described. Methods Twenty-five patients who died in the intensive care unit after their lungs had been mechanically ventilated for 72 h were studied. Twenty of the 25 died with clinical suspicion of pulmonary infection. A total of 375 immediate postmortem pulmonary biopsies were obtained after death and processed for quantitative microbiology and histology. Four evolutionary stages of pneumonia were defined: early, intermediate, advanced, and resolution. Results At least one specimen with histologic evidence of pneumonia was found in all but two patients (92%). Histologic pneumonia was a widespread and frequent process (46%) of biopsies examined) involving predominantly the lower lobes (55% of all biopsies with pneumonia) and showing different histopathologic stages of progression coexisting in the same lung lobes. Lung cultures were frequently polymicrobial (149 of 375, 40% of the pulmonary biopsy cultures, and 20 of 25, 80% of the cases) and not always yielding the same pathogen (19 microorganisms) when comparing one lung to the other. Histopathology and microbiologic biopsy cultures showed a weak relationship (28% and 49% of species had counts &gt; or = 10(3) cfu/g in samples without pneumonia from patients with and without prior antibiotic treatment, respectively). Histopathologic evolutionary stages were not associated with any differences in quantitative culture results of pulmonary biopsies, independently of prior administration of antibiotics. Higher bacterial concentrations of biopsy cultures were associated with the absence of prior antibiotic treatment. Conclusions Ventilator-associated pneumonia is a frequent diffuse and polymicrobial process showing different coexisting degrees of evolution and involving preferentially the lower lobes. Microbiology and histology can be dissociated even in the absence of prior antibiotic treatment. Lung histology appears more reliable than bacteriology as a diagnostic reference test.
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Fitzgerald, Tamara N., Akihito Muto, Fabio Akimaro Kudo, Jose Mario Pimiento, Robert Todd Constable, and Alan Dardik. "Emerging Vascular Applications of Magnetic Resonance Imaging: A Picture is Worth More than a Thousand Words." Vascular 14, no. 6 (November 2006): 366–71. http://dx.doi.org/10.2310/6670.2006.00062.

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Vascular applications of magnetic resonance (MR) imaging are reviewed, with emphasis on algorithms that use nonpictorial information contained in the MR data set. Current clinical vascular practice generally limits use of MR angiography and three-dimensional vessel images to qualitative pictorial rendering without routinely using the available quantitative information contained within the MR data. This review is dedicated to recent advances that include characterization of vessel histology, assessment of carotid plaque vulnerability, characterization of blood flow dynamics, quantitative analysis of disease severity, and prediction of vascular intervention outcome. Examples from histologic preparation, in vitro and in vivo experiments, are discussed, with an emphasis on potential clinical applications and advances in acquisition technology.
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Hendricks, James B. "Quantitative Histology by Laser Scanning Cytometry." Journal of Histotechnology 24, no. 1 (March 2001): 59–62. http://dx.doi.org/10.1179/his.2001.24.1.59.

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Allan Johnson, G., Alexandra Badea, and Yi Jiang. "Quantitative Neuromorphometry Using Magnetic Resonance Histology." Toxicologic Pathology 39, no. 1 (November 30, 2010): 85–91. http://dx.doi.org/10.1177/0192623310389622.

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Dissertations / Theses on the topic "Histologie quantitative"

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Vandenberghe, Michel. "3D whole-brain quantitative histopathology : methodology and applications in mouse models of Alzheimer's disease." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066411/document.

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L’histologie est la méthode de choix pour l’étude ex vivo de la distribution spatiale des molécules qui composent les organes. En particulier, l’histologie permet de mettre en évidence les marqueurs neuropathologiques de la maladie d’Alzheimer ce qui en fait un outil incontournable pour étudier la physiopathologie de la maladie et pour évaluer l’efficacité de candidats médicaments. Classiquement, l’analyse de données histologiques implique de lourdes interventions manuelles, et de ce fait, est souvent limitée à l’analyse d’un nombre restreint de coupe histologiques et à quelques régions d’intérêts. Dans ce travail de thèse, nous proposons une méthode automatique pour l’analyse quantitative de marqueurs histopathologiques en trois dimensions dans le cerveau entier de rongeurs. Les images histologiques deux-dimensionnelles sont d’abord reconstruites en trois dimensions en utilisant l’imagerie photographique de bloc comme référence géométrique et les marqueurs d’intérêts sont segmentés par apprentissage automatique. Deux approches sont proposées pour détecter des différences entre groupes d’animaux: la première est basée sur l’utilisation d’une ontologie anatomique de cerveau qui permet détecter des différences à l’échelle de structures entières et la deuxième approche est basée sur la comparaison voxel-à-voxel afin de détecter des différences locales sans a priori spatial. Cette méthode a été appliquée dans plusieurs études chez des souris modèles de déposition amyloïde afin d’en démontrer l’utilisabilité
Histology is the gold standard to study the spatial distribution of the molecular building blocks of organs. In humans and in animal models of disease, histology is widely used to highlight neuropathological markers on brain tissue sections. This makes it particularly useful to investigate the pathophysiology of neurodegenerative diseases such as Alzheimer’s disease and to evaluate drug candidates. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting measurements to limited portions of the brain. Quantitative methods are lacking for whole-brain analysis of cellular and pathological markers. In this work, we propose an automated and scalable method to thoroughly quantify and analyze histopathological markers in 3D in rodent whole brains. Histology images are reconstructed in 3D using block-face photography as a spatial reference and the markers of interest are segmented via supervised machine learning. Two complimentary approaches are proposed to detect differences in histopathological marker load between groups of animals: an ontology-based approach is used to infer difference at the level of brain regions and a voxel-wise approach is used to detect local differences without spatial a priori. Several applications in mouse models of A-beta deposition are described to illustrate 3D histopathology usability to characterize animal models of brain diseases, to evaluate the effect of experimental interventions, to anatomically correlate cellular and pathological markers throughout the entire brain and to validate in vivo imaging techniques
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Klinge, Christine [Verfasser]. "Quantitative Strukturanalyse der Mäuselunge mit stereologischen Methoden: Korrelation von Micro-CT und Histologie / Christine Klinge." Hannover : Bibliothek der Tierärztlichen Hochschule Hannover, 2013. http://d-nb.info/1037834569/34.

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Vandenberghe, Michel. "3D whole-brain quantitative histopathology : methodology and applications in mouse models of Alzheimer's disease." Electronic Thesis or Diss., Paris 6, 2015. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2015PA066411.pdf.

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L’histologie est la méthode de choix pour l’étude ex vivo de la distribution spatiale des molécules qui composent les organes. En particulier, l’histologie permet de mettre en évidence les marqueurs neuropathologiques de la maladie d’Alzheimer ce qui en fait un outil incontournable pour étudier la physiopathologie de la maladie et pour évaluer l’efficacité de candidats médicaments. Classiquement, l’analyse de données histologiques implique de lourdes interventions manuelles, et de ce fait, est souvent limitée à l’analyse d’un nombre restreint de coupe histologiques et à quelques régions d’intérêts. Dans ce travail de thèse, nous proposons une méthode automatique pour l’analyse quantitative de marqueurs histopathologiques en trois dimensions dans le cerveau entier de rongeurs. Les images histologiques deux-dimensionnelles sont d’abord reconstruites en trois dimensions en utilisant l’imagerie photographique de bloc comme référence géométrique et les marqueurs d’intérêts sont segmentés par apprentissage automatique. Deux approches sont proposées pour détecter des différences entre groupes d’animaux: la première est basée sur l’utilisation d’une ontologie anatomique de cerveau qui permet détecter des différences à l’échelle de structures entières et la deuxième approche est basée sur la comparaison voxel-à-voxel afin de détecter des différences locales sans a priori spatial. Cette méthode a été appliquée dans plusieurs études chez des souris modèles de déposition amyloïde afin d’en démontrer l’utilisabilité
Histology is the gold standard to study the spatial distribution of the molecular building blocks of organs. In humans and in animal models of disease, histology is widely used to highlight neuropathological markers on brain tissue sections. This makes it particularly useful to investigate the pathophysiology of neurodegenerative diseases such as Alzheimer’s disease and to evaluate drug candidates. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting measurements to limited portions of the brain. Quantitative methods are lacking for whole-brain analysis of cellular and pathological markers. In this work, we propose an automated and scalable method to thoroughly quantify and analyze histopathological markers in 3D in rodent whole brains. Histology images are reconstructed in 3D using block-face photography as a spatial reference and the markers of interest are segmented via supervised machine learning. Two complimentary approaches are proposed to detect differences in histopathological marker load between groups of animals: an ontology-based approach is used to infer difference at the level of brain regions and a voxel-wise approach is used to detect local differences without spatial a priori. Several applications in mouse models of A-beta deposition are described to illustrate 3D histopathology usability to characterize animal models of brain diseases, to evaluate the effect of experimental interventions, to anatomically correlate cellular and pathological markers throughout the entire brain and to validate in vivo imaging techniques
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Bélanger, Erik. "Développement et utilisation d'une plateforme d'imagerie optique quantitative, multimodale et non linéaire de la moelle épinière chez les animaux vivants." Doctoral thesis, Université Laval, 2013. http://hdl.handle.net/20.500.11794/24192.

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La microscopie optique chez les animaux vivants est un outil de recherche prometteur pour l’avancement de la neurobiologie. L’imagerie intravitale offre un aperçu en direct de la réponse des cellules individuelles aux dommages affectant le système nerveux. Combinée à la vaste gamme de souris transgéniques disponibles commercialement et compatibles avec différents modèles animaux de maladies neurodégénératives, la microscopie in vivo favorise la compréhension du déroulement des pathologies et du fonctionnement des thérapies. Il est capital de travailler à l’émergence de cet outil, qui se présente comme une stratégie dotée d’un énorme potentiel. Le projet de doctorat décrit dans cette thèse porte donc sur le développement et l’utilisation d’une plateforme de microscopie quantitative, multimodale et non linéaire pour l’imagerie de la moelle épinière chez les animaux vivants. Premièrement, nous avons enrayé la dépendance en polarisation de l’intensité du signal de diffusion Raman cohérente (CARS, « coherent anti-Stokes Raman scattering »), de façon à adapter les images à l’interprétation histologique. Nous avons appliqué cette technique afin d’étudier l’histologie de la myéline de la moelle épinière du rat. En second lieu, nous avons proposé une nouvelle procédure d’analyse d’images compatible avec l’imagerie d’animaux vivants, dans le but de faire de l’histologie des axones myélinisés. Nous avons alors quantifié, dans un modèle de blessure par écrasement d’un nerf, la démyélinisation proximale et la remyélinisation distale au site de lésion ex vivo et in vivo respectivement. Troisièmement, nous montrons que l’imagerie de CARS de la moelle épinière de souris vivantes peut être réalisée avec un microendoscope, et ce tout en conservant sa compatibilité avec le signal de fluorescence par excitation à deux photons. Finalement, nous discutons d’une stratégie de traitement numérique d’images pour réduire les artefacts reliés au mouvement de l’animal. Cette technique permet l’étude histologique de la myéline et la quantification de la motilité des cellules microgliales dans leur environnement natif. En définitive, cette thèse démontre que la microscopie de CARS in vivo progresse peu à peu vers un outil grand public en neurobiologie.
Optical microscopy in living animals is a promising research tool for the evolution of neurobiology. Intravital imaging offers a live preview of how individual cells respond to the nervous system damages. Applying in vivo microscopy to a panoply of transgenic mice used with different animal models of neurodegenerative diseases promotes the understanding of the progress of pathologies and the comprehension of how therapies work. It is thus essential to promote the emergence of optical microscopy technologies in living animals because it is a strategy with great potential. Therefore, the project described in this doctoral thesis focuses on the development and use of a microscopy platform for quantitative, multimodal and nonlinear imaging of the spinal cord in living animals. First, we alleviated the polarization dependence of the coherent anti-Stokes Raman scattering (CARS) signal intensity. This strategy makes images more amenable to histological interpretation. With this technique, we studied the histology of myelin in the rat spinal cord. Secondly, we proposed a new image analysis procedure compatible with live animals imaging in order to achieve the histology of myelinated axons. We quantified the demyelination proximal, and remyelination distal to the crush site ex vivo and in vivo respectively. Third, we showed that CARS imaging of the spinal cord in living mice can be achieved with a microendoscope, and this while maintaining compatibility with the two-photon excitation fluorescence signal. Finally, we discuss a digital image processing strategy that reduces imaging artifacts related to movement of the animal. This technique allows the histological study of myelin and the quantification of the motility of microglial cells in their native environment. Ultimately, this thesis demonstrates that in vivo CARS microscopy progresses gradually towards a robust tool for research in neurobiology.
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Emerit, Valérie. "Etude quantitative des images en imagerie de résonance magnétique nucléaire : détermination rapide in vivo des temps de relaxation tissulaires." Toulouse 3, 1997. http://www.theses.fr/1997TOU30094.

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Dans le but d'obtenir une quantification objective des parametres relaxometriques qui sont a l'origine du contraste de l'image en irm, nous avons developpe une methode de mesure rapide et precise des temps de relaxation longitudinale, t#1, et transversale, t#2, des protons de l'eau tissulaire. Sa mise en oeuvre n'impose pas de modifier les protocoles usuels d'imagerie ce qui permet d'effectuer une analyse quantitative des images d'irm lors d'examens de routine. Les temps de relaxation t#1 et t#2 sont obtenus respectivement a partir de l'acquisition d'images d'echos de gradient de type f. L. A. S. H. , rrealisees avec differentes valeurs de l'angle d'impulsion, et d'echos de spins a nombre limite d'echos. Les durees d'acquisition necessaires a l'obtention de ces parametres sont, pour des images de matrice 128#2, de l'ordre de 15 secondes pour t#1 et 30 secondes pour t#2. Une determination precise de la variation de la densite de proton n(h) entre deux elements d'image est egalement proposee. Elle utilise des sequences d'echos de gradient de temps d'echocs differents. La methode est validee sur fantomes (eurospin to-5 ; echantillons de solutions aqueuses de chlorure de manganese deuterees). L'ecart observe sur t#1, t#2 et n(h) entre les valeurs mesurees sur l'imageur et les valeurs spectrometriques de reference, est de l'ordre de 5%. Les valeurs de t#1 et t#2 obtenues in vivo pour differents tissus sont en bon accord avec celles publiees dans la litterature ce qui permet d'envisager une caracterisation tissulaire standardisee et reproductible basee sur la determination des parametres relaxometriques tissulaires.
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Canonge, Rafael. "Imagerie moléculaire 3D quantitative des tissus en utilisant la microscopie Raman cohérente sans marquage." Thesis, Ecole centrale de Marseille, 2017. http://www.theses.fr/2017ECDM0010/document.

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Cette thèse porte sur l'utilisation et le développement de techniques de microscopie multiphotonique pour l'imagerie d'échantillons biologiques humains. Une plateforme d'imagerie multiphotonique utilisant les contrastes non linéaires sans marquage tels que la fluorescence à deux photons, la génération de seconde harmonique, et les mécanismes Raman cohérent (CARS et SRS) a été conçue et développée au cours de cette thèse, et les travaux expérimentaux suivant deux axes de recherche principaux sont présentés.Dans une première partie , l'imagerie tridimensionnelle et sans marquage des muqueuses du système digestif humain est comparée aux images histologiques classiques avec marquages colorimétriques. Nous montrons que les techniques multiphotoniques utilisées permettent de reconstituer la structure et de discerner les différents éléments moléculaires présents dans les tissus dans le but d'obtenir une caractérisation des zones touchées par le développement de tumeurs cancéreuses
This thesis focuses on multiphotonic microscopy techniques development and use in order to image human biological samples. A multiphotonic imaging setup using label-free nonlinear contrasts mechanisms such as two-photons fluorescence, second harmonic generation, or stimulated Raman effect (CARS or SRS) has been designed and developped during this PhD, and I present the experimental work in two main research topics.In a first part, we compare label-free 3D imaging with classic histological imaging using colorimetric labels in human digestive system. We show that multiphotonic technics allow to reconstruct the organization and discern the molecular compounds inside the tissues, in order to get a caratérization of the cancerous tumors developpement.The second part is related to the application of our multimodal setup to the quantitative study of real active molecular compounds real time penetration into in vivo human skin. We show that multiphotonic microscopy make possible to mesure active molecules in depth 3D concentration in the skin in order to understand transcutaneous diffusion mechanisms in cosmetic and pharmacological applications
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Julliard, A. Karyn. "Tissu glio-interstitiel et régulation calcique des espaces extracellulaires dans le muscle rétracteur du byssus de Mytilus : étude morphométrique et microanalyse quantitative de compartiments calciques subcellulaires." Lyon 1, 1986. http://www.theses.fr/1986LYO10078.

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Faure-Brac, Mathieu. "Effects of thermophysiology on the evolution of Pseudosuchia (Archosauria) : contributions of paleohistology and isotopic geochemistry using phylogenetic comparative methods." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS233.

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Il est aujourd’hui communément admis que les archosaures sont ancestralement endothermes, soit qu’ils présentent des mécanismes de thermogenèse non frissonnante. Parmi les archosaures, les crocodiliens actuels sont pourtant des ectothermes, mais présentent des caractéristiques anatomiques et moléculaires traditionnellement associées à l’endothermie : un cœur à quatre cavité ; plusieurs acquisitions liées à une respiration efficace, comme un muscle diaphragmatique et un flux d’air unidirectionnel ; la formation de tissus osseux liés à des taux de croissance élevés ; un taux d’évolution mitochondrial important. Des études sur des pseudosuchiens éteints ont conclus que la plupart des espèces du Trias étaient endothermes. La perte de l’endothermie au sein du clade doit cependant toujours être définie. Durant cette thèse, j’ai utilisé la géochimie des isotopes stables et l’ostéohistologie quantitative pour inférer la température corporelle et le taux métabolique au repos, deux proxies de l’endothermie, de plusieurs métasuchiens. J’ai conclus que le clade Metasuchia était ancestralement ectotherme et, à l’aide d’une reconstruction ancestrale des caractères, que l’endothermie a probablement été perdue au nœud Crocodylomorpha. J’en déduit l’hypothèse suivante : l’endothermie des pseudosuchiens était probablement à un stade plus primitif que celle des dinosaures. Contrairement à ces derniers, les pseudosuchiens endothermes n’ont pu survivre à l’extinction de masse de la fin du Trias, ne laissant pour seul survivant que les crocodylomorphes ectothermes
It is today well­ established that archosaurs are ancestrally endotherms, i.e., they present mechanisms of non­ shivering thermogenesis. Among archosaurs, extant crocodilians are ectothermic but present particular anatomical and molecular features traditionally associated with endothermy: a four­c hambered heart; several acquisitions linked to an efficient breath such as a diaphragmatic muscle and unidirectional airflow; the deposition of high growth rate bone tissues; a high mitochondrial rate of evolution. Studies on extinct pseudosuchians suggested that most of the Triassic species were endothermic, but the timing of the loss o fendothermy in Pseudosuchia still has to be constrained both temporally and phylogenetically.In this thesis, I use stable isotopic geochemistry and quantitative osteohistology to infer the body temperature and the resting metabolic rate, to proxies to infer endothermy, of several metasuchians. I concluded that metasuchians are primitively ectothermic, and inferred the loss of endothermy at the node Crocodylomorpha using ancestral state reconstruction. I hypothesize pseudosuchian’s endothermy was in a more primitive state than dinosaurs’ and that they were not able to survive the end Triassic mass extinction. The only surviving pseudosuchians were then ectothermic crocodylomorphs, leading to extant species
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Elschner, Cindy. "Analyse der knöchernen Einheilung von Biomaterialien mit der Magnetresonanztomographie." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-204714.

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Die Analyse von Implantat-Gewebe-Wechselwirkungen basiert derzeit hauptsächlich auf histologischen Techniken. Der invasive Charakter der histologischen Präparation lässt allerdings keine Untersuchung am lebenden Tier zu. Dadurch ist es nicht möglich, den Prozess der Implantateinheilung wiederholt an einem Tier zu beobachten. Die Folgen sind eine hohe Anzahl aufzuwendender Versuchstiere und eine Vergrößerung der Messunsicherheit infolge der gestiegenen biologischen Variabilität. Nicht-invasive, bildgebende Verfahren spielen daher eine zunehmende Rolle für die Entwicklung neuer Biomaterialien. Während die Computertomographie (CT) häufig zur Untersuchung der knöchernen Implantateinheilung verwendet wird, hat sich die Nutzung der Magnetresonanztomographie (MRT) für diese Fragestellungen bisher nicht etabliert. Bei der Magnetresonanztomographie handelt es sich, analog zur Computertomographie, um ein bildgebendes Verfahren zur nicht-invasiven Erzeugung digitaler Schnittbilder. Im Gegensatz zur CT, die das Hartgewebe abbildet, wird bei der MRT das Weichgewebe detektiert, wobei keine ionisierende Strahlung verwendet wird. Der große Vorteil der MRT gegenüber anderen bildgebenden Methoden besteht darin, dass es möglich ist, das Weichgewebe auf den Schnittbildern anhand verschiedener Kontraste darzustellen. Zusätzlich können MR-spezifische Parameter quantifiziert werden, die einen direkten Rückschluss auf die Struktur zulassen. Mit diesen Kennzahlen ist es möglich, Veränderungen im Weichgewebe analysieren. Das Ziel der Arbeit war es deshalb, die Eignung und mögliche Anwendungen der Magnetresonanzto-mographie (MRT) zur Analyse der Implantat-Gewebe-Wechselwirkungen zu erörtern. Für die Untersu-chungen wurde ein NMR-Spektrometer inklusive Imaging-Zubehör verwendet. Die Dissertationsarbeit beinhaltete sowohl die Untersuchung verschiedener Materialsysteme hinsichtlich ihrer Eignung für die MRT und deren Biokompatibilität, als auch die Analyse der knöchernen Einheilung ausgewählter Biomaterialien. Diese umfasste Aussagen zur Darstellbarkeit und Abgrenzbarkeit von Strukturen und beinhaltete auch quantitativ gewonnene Messparameter. Die Ergebnisse wurden stets im Vergleich mit der Histologie diskutiert. In der Arbeit konnte dargestellt werden, dass die Überprüfung der Eignung des zu untersuchenden Materials für die MRT vor der Analytik erfolgen muss. Es wurde demonstriert, dass Metalle erheblich mit dem MR-System wechselwirken können, was in der Konsequenz zu drastischen Störungen der Bildqualität führt. Diese Effekte waren stark von den ausgewählten Messparametern abhängig. Als ein MRT-geeignetes Verbundmaterial wurde Titan-beschichtetes Polyetheretherketon (PEEK/Ti) vorgeschlagen. Die Beschichtung mit Titan führte zu einer signifikant verbesserten Biokompatibilität des Kunststoffes. Die erfolgreiche Analyse der knöchernen Einheilung mit der Magnetresonanztomographie wurde im Rahmen von zwei tierexperimentellen Studien an verschiedenen Biomaterialien gezeigt (die Analyse erfolg-te ex vivo). Die Untersuchung der knöchernen Integration eines Zahnimplantates aus PEEK/Ti hatte das Ziel, die Darstellbarkeit des Implantates und knöcherner Strukturen mit der Magnetresonanztomographie zu evaluieren. Außerdem wurde ebenfalls gezeigt, dass es anhand der MRT-Schnittbilder möglich ist, quantitative Messgrößen zur Beschreibung des Einheilprozesses zu gewinnen. Aufgrund der geringen Versuchstierzahl wurde jedoch eine breite Streuung der Messdaten festgestellt. Allerdings besitzt die Studie durch die Untersuchung eines Zahnimplantates aus Polyetheretherketon/Titan mit der MRT nicht nur Neuheitswert in der Biomaterialforschung, sondern schlägt gleichzeitig eine Brücke zur klinischen, dentalen Implantologie. Die Bewertung der Darstellbarkeit knöcherner Strukturen und der verwendeten (teils tissue-engineerten) Knochenersatzmaterialien mit MRT und Histologie und des klinischen Erfolges derselben bildeten einen Schwerpunkt der zweiten tierexperimentellen Studie (die Analyse erfolgte ex vivo). Es war möglich, mit beiden bildgebenden Verfahren zu zeigen, dass sich die verwendeten Knochenersatzmaterialien nicht für die vorgesehene Anwendung eigneten. Die Beurteilung der Übereinstimmung der quantitativ gewonnenen Parameter beider Analysenmethoden bildete den Abschluss der Arbeit. Es wurde festgestellt, dass zwischen den Messdaten stets ein syste-matischer Unterschied bestand. Nachweislich war dieser aber weniger das Resultat der ungleichen lateralen Auflösungen oder der unterschiedlichen Darstellbarkeit von Gewebestrukturen der beiden Verfahren, sondern konnte auf den Einfluss der Analyse verschiedener Schichtebenen und individueller Unterschiede bei der digitalen Quantifizierung der auswertenden Personen zurückgeführt werden
Currently, histological techniques are used to analyse implant-tissue-interactions. However, these methods are destructive and do not allow for the investigation of living animals. Therefore, it is not possible to study the integration of biomaterials repeatedly with one animal, resulting in a large number of animals and an increase of biological variability. Non-invasive imaging techniques have gained interest in the field of biomaterials. Whereas Computed Tomography (CT) was often used to evaluate the osseous integration, the assessment using Magnetic Resonance Imaging (MRI) has not been established, yet. MRI is a non-invasive medical imaging method that detects soft tissue. In contrast to CT the method does not require individuals to be exposed to radiation. The most important benefit of MRI is the possibility to acquire different soft tissue contrasts in situ because the various tissues have different signal intensities on MR images that can be altered by using different experimental parameters. Furthermore, it is possible to gain MR-specific properties that allow conclusions to the tissue structure. Thus, the objective of the doctoral thesis has been to investigate the suitability of MRI for the use in biometerial research and to show potential areas of application. The examinations were performed using a laboratory NMR-spectrometer inclusive imaging accessory. The thesis included an evaluation of the MR compatibility of different materials and their biocompati-bility and an analysis of the ingrowth of chosen biomaterials into bone. For that, the detection and identification of tissue structures and biomaterials was investigated with both, MRI and histology. Additionally, quantitative parameters were acquired and their comparability was assessed. It was clearly demonstrated, that metals interacted with the MR system and provoked large image distortions. These effects were strongly dependent on experimental parameters chosen. Polyetheretherketone with titanium coating (PEEK/Ti) was investigated and has been found to be MR safe. Above all, it was demonstrated that the biocompatibility of the polymer was significantly enhanced by coating with titanium. Within two animal studies the successful analysis of the osseous healing of different biomaterials with MRI was presented. To demonstrate the visibility of bony structures and biomaterials a dental implant made of PEEK/Ti was analysed. The ability to measure quantitative data in analogy to histomorphometry was shown, ditto. A large variation of the values was detected due to the limited number of animals used for the pilot study. Evaluating the displayability of bone and (to some extent tissue engineered) bone substitutes and assessing the clinical success of these materials was one main focus of the second animal study. Both, MRI and histological analysis could undeniably illustrate that all of the bone substitutes were not suitable for the chosen application. The thesis was completed with the determination of the agreement of quantitative values from both analysing methods. It was concluded that all values gained from the animal study were significantly different. It was proven that the chosen slice position and the image interpretation with two evaluators had a larger share to disagreement than the different lateral resolution of MRI and histological images or the diverging displayability of bone and bone substitutes. By investigating a MR suitable dental PEEK implant the doctoral thesis fulfils the criteria of novelty in biomaterial research. Moreover, it forges links between preclinical research and dental implantology
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Chamming's, Foucauld. "Elastographie quantitative des tumeurs du sein et de la réponse au traitement." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCB152/document.

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Introduction : L’élastographie shear wave (ESW) est une technique récente d’échographie qui évalue quantitativement la dureté des tissus et permet d’améliorer la caractérisation des lésions mammaires. Comme toute nouvelle technique d’imagerie, l’ESW nécessite une validation préclinique pour définir les conditions d’utilisations et établir les limites des champs d’applications dans lesquelles la technique pourra être considérée comme valide. Matériels et méthodes : Dans une première partie effectuée au laboratoire de recherche en Imagerie nous avons étudié les éléments histologiques sous tendant l’image d’ESW sur un modèle de cancer du sein implanté chez la souris, au cours de sa croissance puis sous traitement. Dans une deuxième partie, nous avons étudié chez des patientes le rôle de la compression manuelle en ESW pour la caractérisation des lésions mammaires. Dans une dernière partie, effectuée en collaboration avec une équipe de l’Institut Langevin Ondes et Images, nous avons étudié la faisabilité d’un nouveau paramètre, le module de cisaillement non linéaire pour l’analyse des lésions mammaires. Résultats : Au laboratoire, nous avons établi des corrélations entre la dureté mesurée en élastographie et les caractéristiques histologiques des tumeurs, y compris sous traitement. Nous avons montré que la fibrose était associée à une dureté élevée et la nécrose à une dureté moindre. Notre étude clinique a montré qu’une compression manuelle minimale était nécessaire pour obtenir de bonnes performances de l’ESW et qu’une pression trop élevée devait être évitée. Enfin nous avons montré la faisabilité en imagerie mammaire d’un nouveau paramètre quantitatif obtenu en élastographie shear wave : le module de cisaillement non linéaire. Conclusion : A partir de travail de thèse, une meilleure compréhension de la part des éléments biologiques et techniques en ESW du sein est possible et des recommandations pour l’utilisation clinique peuvent être formulées. Nos observations cliniques ont entrainé la mise au point d’un nouveau paramètre diagnostique quantitatif : le module de cisaillement non linéaire
Introduction: Shear Wave Elastography (SWE) is a recent ultrasound technique assessing quantitatively tissue stiffness and improving breast lesions characterization. As every new imaging technique, SWE requires a pre clinical validation in order to define in which conditions it should be used and precise the applications for which the technique is validated. Materials and methods: First, in a research lab we have investigated the pathological features underlying SWE image in a breast cancer model implanted in mice, during tumor growth and under therapy. Secondly, we have studied in patients the role of manual compression in SWE for the characterization of breast lesions. Finally, in collaboration with on team from Institut Langevin Ondes et Images, we have studied the feasibility of a new parameter, the non-linear modulus, for breast lesion assessment. Results: in the research lab, we have shown correlations between stiffness as measured with SWE and pathological features of tumors, even on treatment. We have shown that fibrosis was associated with high stiffness values and necrosis with lowers. Our clinical study, showed that a minimal manual compression was required for optimal performance of SWE and that strong compression should be avoided. Finally, we demonstrated feasibility of a new parameter, derived from SWE, the non-linear modulus. Conclusion: Our work provides a better understanding of biological and technical elements of SWE. On the basis of our results, new recommendations may be made for the use of SWE in clinical practice. From our clinical findings, we developed a new quantitative parameter, which may be useful for the diagnosis of breast lesions, the non-linear modulus
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Books on the topic "Histologie quantitative"

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W, Hamilton Peter, and Allen Derek C, eds. Quantitative clinical pathology. Oxford [England]: Blackwell Science, 1995.

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Y, Mary J., Rigaut J. P, Unité de recherches biomathématiques et biostatistiques., Institut national de la santé et de la recherche médicale., Association pour la recherche sur le cancer., and European Society of Pathology, eds. Quantitative image analysis in cancer cytology and histology. Amsterdam: Elsevier Science, 1986.

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1950-, Stewart Michael G., ed. Quantitative methods in neuroanatomy. Chichester: J. Wiley, 1992.

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L, Deter Russell, ed. Quantitative obstetrical ultrasonography. New York: Wiley, 1986.

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Y, Mary J., Rigaut J. P, Institut national de la santé et de la recherche médicale (France). Unité de recherches biomathématiques et biostatistiques., Association pour le développment de la recherche sur le cancer (France), and European Society of Pathology, eds. Quantitative image analysis in cancer cytology and histology: Based on a symposium. Amsterdam: Elsevier, 1986.

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service), ScienceDirect (Online, ed. Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. Amsterdam: Elsevier/Academic Press, 2009.

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Crowder, Christian Matthew. Evaluating the use of quantitative bone histology to estimate adult age at death. 2005.

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Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Elsevier Science & Technology Books, 2013.

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Johansen-Berg, Heidi, and Timothy E. J. Behrens. Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Elsevier Science & Technology Books, 2013.

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Book chapters on the topic "Histologie quantitative"

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Mandarim-de-Lacerda, Carlos Alberto, Caroline Fernandes-Santos, and Marcia Barbosa Aguila. "Image Analysis and Quantitative Morphology." In Histology Protocols, 211–25. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-345-9_17.

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Balbastre, Yaël, Michel E. Vandenberghe, Anne-Sophie Hérard, Pauline Gipchtein, Caroline Jan, Anselme L. Perrier, Philippe Hantraye, Romina Aron-Badin, Jean-François Mangin, and Thierry Delzescaux. "A Quantitative Approach to Characterize MR Contrasts with Histology." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 104–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30858-6_10.

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Kotrschal, Kurt, and Margit Palzenberger. "Neuroecology of cyprinids: comparative, quantitative histology reveals diverse brain patterns." In Environmental biology of European cyprinids, 135–52. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2544-4_13.

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Collins, Stephan C., and Binnaz Yalcin. "Assessment of Adult Mouse Brain Neuroanatomical Phenotypes Using Quantitative and Precision Histology." In Neuromethods, 93–116. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2569-9_6.

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Parameswaran, Harikrishnan, and Béla Suki. "Assessing Structure–Function Relations in Mice Using the Forced Oscillation Technique and Quantitative Histology." In Methods in Molecular Biology, 77–91. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7163-3_8.

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Jiménez, Gabriel, and Daniel Racoceanu. "Computational Pathology for Brain Disorders." In Machine Learning for Brain Disorders, 533–72. New York, NY: Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_18.

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AbstractNoninvasive brain imaging techniques allow understanding the behavior and macro changes in the brain to determine the progress of a disease. However, computational pathology provides a deeper understanding of brain disorders at cellular level, able to consolidate a diagnosis and make the bridge between the medical image and the omics analysis. In traditional histopathology, histology slides are visually inspected, under the microscope, by trained pathologists. This process is time-consuming and labor-intensive; therefore, the emergence of computational pathology has triggered great hope to ease this tedious task and make it more robust. This chapter focuses on understanding the state-of-the-art machine learning techniques used to analyze whole slide images within the context of brain disorders. We present a selective set of remarkable machine learning algorithms providing discriminative approaches and quality results on brain disorders. These methodologies are applied to different tasks, such as monitoring mechanisms contributing to disease progression and patient survival rates, analyzing morphological phenotypes for classification and quantitative assessment of disease, improving clinical care, diagnosing tumor specimens, and intraoperative interpretation. Thanks to the recent progress in machine learning algorithms for high-content image processing, computational pathology marks the rise of a new generation of medical discoveries and clinical protocols, including in brain disorders.
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Gilbert, Stephen H., Olivier Bernus, Arun V. Holden, and Alan P. Benson. "A Quantitative Comparison of the Myocardial Fibre Orientation in the Rabbit as Determined by Histology and by Diffusion Tensor-MRI." In Functional Imaging and Modeling of the Heart, 49–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01932-6_6.

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Dinse, Juliane, Miriam Waehnert, Christine Lucas Tardif, Andreas Schäfer, Stefan Geyer, Robert Turner, and Pierre-Louis Bazin. "A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images." In Advanced Information Systems Engineering, 51–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40763-5_7.

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Goodwin, Paul C., Brian Johnson, and Charles W. Frevert. "Microscopy, Immuno-Histochemistry, Digital Imaging, and Quantitative Microscopy." In Comparative Anatomy and Histology, 53–66. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-802900-8.00004-x.

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Gregor, Tom, Petra Kochov, Lada Eberlov, Luk Nedorost, Eva Proseck, Vclav Lika, Hynek Mrka, et al. "Correlating Micro-CT Imaging with Quantitative Histology." In Injury and Skeletal Biomechanics. InTech, 2012. http://dx.doi.org/10.5772/48680.

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Conference papers on the topic "Histologie quantitative"

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Wang, Xiao, M. Shahriar Salamat, Tomy Varghese, and Robert J. Dempsey. "Carotid plaque characterization with histology and quantitative ultrasound." In 2014 IEEE International Ultrasonics Symposium (IUS). IEEE, 2014. http://dx.doi.org/10.1109/ultsym.2014.0595.

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Fanous, Michael J., Hassaan Majeed, Yuchen R. He, Nahil Sobh, and Gabriel Popescu. "Deep learning-based computational histology staining using spatial light interference microscopy (SLIM) Data (Conference Presentation)." In Quantitative Phase Imaging VI, edited by Gabriel Popescu, YongKeun Park, and Yang Liu. SPIE, 2020. http://dx.doi.org/10.1117/12.2550335.

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Macenko, Marc, Marc Niethammer, J. S. Marron, David Borland, John T. Woosley, Xiaojun Guan, Charles Schmitt, and Nancy E. Thomas. "A method for normalizing histology slides for quantitative analysis." In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). IEEE, 2009. http://dx.doi.org/10.1109/isbi.2009.5193250.

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Yin, Yi, Oliver Sedlaczek, Arne Warth, Margarita Gonzalez-Vallinas, Kai Breuhahn, Irene E. Vignon-Clementel, and Dirk Drasdo. "Quantitative estimation of tumor cellularity based on histology data." In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069630.

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Thomsen, Sharon L., Wai-Fung Cheong, and John A. Pearce. "Changes in collagen birefringence: a quantitative histologic marker of thermal damage in skin." In Optics, Electro-Optics, and Laser Applications in Science and Engineering, edited by Oon T. Tan, Rodney A. White, and John V. White. SPIE, 1991. http://dx.doi.org/10.1117/12.43938.

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Silva, Débora Evelyn Ferreira, Márcia Mayanne Almeida Bezerra, and Darlen Cardoso De Carvalho. "DETECÇÃO DE ANOMALIAS CONGÊNITAS NO BRASIL: ANÁLISE EPIDEMIOLÓGICA DE UMA DÉCADA." In I Congresso On-line Nacional de Histologia e Embriologia Humana. Revista Multidisciplinar em Saúde, 2022. http://dx.doi.org/10.51161/rems/3221.

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Introdução: Os defeitos congênitos são alterações estruturais ou funcionais originadas na vida intrauterina, e podem afetar diversas estruturas corporais. Apresentam etiologia multifatorial, podendo ter causas genéticas, ambientais, nutricionais e infecciosas. No Brasil, as anomalias congênitas são a segunda maior causa de morte pediátrica até os cinco anos de idade, e são fontes frequentes de morbidade, trazendo grande impacto na qualidade de vida dos pacientes e de seus familiares. Objetivos: Verificar a prevalência de malformações congênitas no Brasil no período de uma década, entre os anos de 2010 e 2019. Material e métodos: Trata-se de um estudo descritivo e quantitativo, cujo dados de nascidos com um ou mais tipos de anomalias congênitas foram obtidos através do Sistema de Informações sobre Nascidos Vivos (SINASC) desenvolvido pelo DATASUS, por meio da Declaração de Nascidos Vivo (DNV), entre os anos de 2010 e 2019. Foram analisadas as prevalências ao nascimento para oito grupos de anomalias congênitas: Defeitos de membros, cardiopatias congênitas, fendas orais, defeitos de tubo neural, defeitos de parede abdominal, microcefalia, defeitos de órgãos congênitos e síndrome de Down. Resultados: Dentre o período analisado, percebeu-se a maior frequência de anomalias congênitas do grupo com defeitos em membros (26,4%), seguido de cardiopatias congênitas (10%), fendas orais (6%), defeitos de órgãos genitais (5,7%), defeitos de tubo neural (4,6%) e defeitos de parede abdominal (3%). Acredita-se que ainda existam subnotificações pelo sistema de monitoramento, uma vez que alguns defeitos congênitos podem ser assintomáticos antes do nascimento. Conclusão: Percebeu-se a maior prevalência de anomalias congênitas de membros e de comprometimento cardíaco, durante o período analisado. Esses dados podem ajudar a traçar medidas de fatores de prevenção por meio de planejamento para vacinação, controle de exposição materna a fatores de riscos, aconselhamento gestacional e reabilitação após o nascimento, permitindo uma melhoria na qualidade de vida e desenvolvimento dos infantes afetados.
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Ruusuvuori, Pekka, Kimmo Kartasalo, Mira Valkonen, Masi Valkonen, Tapio Visakorpi, Matti Nykter, and Leena Latonen. "Abstract 46: 3D reconstruction and quantitative analysis of histology for prostate cancer." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-46.

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Ruusuvuori, Pekka, Kimmo Kartasalo, Mira Valkonen, Masi Valkonen, Tapio Visakorpi, Matti Nykter, and Leena Latonen. "Abstract 46: 3D reconstruction and quantitative analysis of histology for prostate cancer." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-46.

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Correia, C., M. Hinchcliff, and M. Mahoney. "THU0387 High-throughput quantitative histology in systemic sclerosis skin disease using computer vision." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.7587.

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Ehteshami Bejnordi, Babak, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, and Jeroen A. W. M. van der Laak. "Quantitative analysis of stain variability in histology slides and an algorithm for standardization." In SPIE Medical Imaging, edited by Metin N. Gurcan and Anant Madabhushi. SPIE, 2014. http://dx.doi.org/10.1117/12.2043683.

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Reports on the topic "Histologie quantitative"

1

Lee, William M., and Badrinath Roysam. Multiplex Quantitative Histologic Analysis of Human Breast Cancer Cell Signaling and Cell Fate. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada538315.

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