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Academic literature on the topic 'Imagerie médicale – Vaisseaux sanguins'
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Journal articles on the topic "Imagerie médicale – Vaisseaux sanguins"
Weichert, Gabriele, Magdalena Martinka, and Jason K. Rivers. "Intravascular Lymphoma Presenting as Telangectasias: Response to Rituximab and Combination Chemotherapy." Journal of Cutaneous Medicine and Surgery 7, no. 6 (November 2003): 460–63. http://dx.doi.org/10.1177/120347540300700606.
Full textDelay, L., M. Tanter, and S. Pezet. "Neuro-imagerie fonctionnelle ultrasonore : vers une meilleure compréhension de la physiologie et de la physiopathologie des douleurs aiguës et chroniques." Douleur et Analgésie, 2022. http://dx.doi.org/10.3166/dea-2022-0237.
Full textAdmin - JAIM. "Résumés des conférences JRANF 2021." Journal Africain d'Imagerie Médicale (J Afr Imag Méd). Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF). 13, no. 3 (November 17, 2021). http://dx.doi.org/10.55715/jaim.v13i3.240.
Full textDissertations / Theses on the topic "Imagerie médicale – Vaisseaux sanguins"
Al, Moussawi Ali. "Reconstruction 3D de vaisseaux sanguins." Electronic Thesis or Diss., Toulon, 2014. http://www.theses.fr/2014TOUL0014.
Full textThis work concerns the 3D reconstruction of blood vessels from a limited number of 2D transversal cuts obtained from scanners. If data are missing, a coherentreconstruction with a vessel network is obtained. This approach allows to limit human interventions in processing images of 2D transversal cuts. Knowing that the images used are obtained by scanner, the difficulty is to connect the blood vessels between some widely spaced cuts in order to produce the graph corresponding to the network of vessels. We identify the vessels on each trnasversal cut as a mass to be transported, we construct a graph solution of a branched transport problem. At this stage, we are able to reconstruct the 3D geometry by using the 2D Level Set Functions given by the transversal cuts and the graph information. The 3D geometry of blood vessels is represented by the data of the Level Set function defined at any point of the space whose 0-level corresponds to the vessel walls. The resulting geometry is usually integrated in a fluid mechanic code solving the incompressible Navier-Stokes equations on a Cartesian grid strictly included in a reconstructed geometry. The inadequacy of the mesh with the interface of the geometry is overcomed thanks to a modified boundary condition leading to an accurate computation of the constraints to the walls
Al, Moussawi Ali. "Reconstruction 3D de vaisseaux sanguins." Thesis, Toulon, 2014. http://www.theses.fr/2014TOUL0014/document.
Full textThis work concerns the 3D reconstruction of blood vessels from a limited number of 2D transversal cuts obtained from scanners. If data are missing, a coherentreconstruction with a vessel network is obtained. This approach allows to limit human interventions in processing images of 2D transversal cuts. Knowing that the images used are obtained by scanner, the difficulty is to connect the blood vessels between some widely spaced cuts in order to produce the graph corresponding to the network of vessels. We identify the vessels on each trnasversal cut as a mass to be transported, we construct a graph solution of a branched transport problem. At this stage, we are able to reconstruct the 3D geometry by using the 2D Level Set Functions given by the transversal cuts and the graph information. The 3D geometry of blood vessels is represented by the data of the Level Set function defined at any point of the space whose 0-level corresponds to the vessel walls. The resulting geometry is usually integrated in a fluid mechanic code solving the incompressible Navier-Stokes equations on a Cartesian grid strictly included in a reconstructed geometry. The inadequacy of the mesh with the interface of the geometry is overcomed thanks to a modified boundary condition leading to an accurate computation of the constraints to the walls
Rognin, Nicolas Georges. "Outils de simulation et de quantification en imagerie de contraste échographique." Lyon 1, 2002. http://www.theses.fr/2002LYO10196.
Full textLesage, David. "Modèles, primitives et méthodes de suivi pour la segmentation vasculaire : application aux coronaires en imagerie tomodensitométrique 3D." Phd thesis, Télécom ParisTech, 2009. http://pastel.archives-ouvertes.fr/pastel-00005908.
Full textDietrich, Gabriel de. "Segmentation d'organes tubulaires par suivi de squelette." Bordeaux 1, 2003. http://www.theses.fr/2003BOR12670.
Full textRakotomalala-Randrianarisoa, Vaoariniaina Vénérée. "Reconstruction bidimensionnelle de vaisseaux rétiniens par analyse d'images couleur de fond d'oeil." Lille 1, 1999. https://pepite-depot.univ-lille.fr/LIBRE/Th_Num/1999/50376-1999-359.pdf.
Full textTrimeche, Iyèd. "Segmentation et analyse quantitative des vaisseaux sanguins de la rétine en optique adaptative." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS169.
Full textAdaptive Optical Ophthalmoscopy (AOO) images of the eye fundus allow visualization of retinal vessels with high resolution, in particular arterial bifurcations and their wall thickness, suitable for morphometric biomarker measurements.The objective of this thesis is to study the morphometry of retinal vessels in AOO images, by determining the different biomarkers characterizing blood flow and which are extracted from the estimation of the diameters and the wall thickness of the branches at the bifurcations.We propose two methods for segmentation of retinal vessels in these images. The first is semi-automatic, it extends a previous approach, treating branches of retinal vessels, to the segmentation of bifurcations. The second is a fully automatic hybrid approach, based on a modified U-Net convolutional neural network and active contours, to segment the branches and bifurcations of retinal vessels with high precision.We thus propose a reproducible and automatic measurement technique to extract the diajavascript:nouvelleZone('contenuS-2');meters of the branches of the bifurcations and calculate the biomarkers for three populations: control subjects, diabetic subjects and Cadasil subjects. The experimental results show that the precision of our semi-automatic and fully automatic approaches lies within the range of intra- and inter-user variability, which allowed us to perform a robust statistical study on the extracted biomarkers in order to differentiate the control subjects and pathological subjects
Yureidini, Ahmed. "Reconstruction robuste des vaisseaux sanguins pour les simulations médicales interactives à partir de données patients." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2014. http://tel.archives-ouvertes.fr/tel-01010973.
Full textKouvahe, Amélé Eyram Florence. "Etude du remodelage vasculaire pathologique : de la caractérisation macroscopique en imagerie TDM à l’analyse en microscopie numérique." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAS019.
Full textThis research focuses on the study of the vascular network in general, in several imaging modalities and several anatomo-pathological configurations. Its objective is to discriminate vascular structures in image data and to detect and quantify the presence of morphological modifications (remodeling) related to a pathology. The proposed generic analysis framework exploits a priori knowledge of the geometry of blood vessels and their contrast with respect to the surrounding tissue. The originality of the developed approach consists in exploiting a multidirectional locally connected filter (LCF) adapted to the dimension of the data space (2D or 3D). This filter allows the selection of curvilinear structures in positive contrast in images whose cross-sectional size does not exceed the size of the filtering window. This selection remains effective even at the level of vessel subdivision. The multi-resolution approach makes it possible to overcome the difference in vascular calibers in the network and to segment the entire vascular structure, even in the presence of a local caliber change. The proposed segmentation approach is general. It can be easily adapted to different imaging modalities that preserve a contrast (positive or negative) between the vessels and their environment. This has been demonstrated in different types of imaging, such as thoracic CT with and without contrast agent injection, hepatic perfusion data, eye fundus imaging and infrared microscopy (for fiber segmentation in mouse brain).From an accurate and robust segmentation of the vascular network, it is possible to detect and characterize the presence of remodeling due to a pathology. This is achieved by analyzing the vessel caliber variation along the central axis which provides both a global view on the caliber distribution in the studied organ (to be compared with a "healthy" reference) and a local detection of shape remodeling. The latter case has been applied for the detection and quantification of pulmonary arteriovenous malformations (PAVM).Initially planned in a study of tumor angiogenesis, the segmentation method developed above was not applicable to infrared microscopy because of lack of vascular contrast in the spectral bands analyzed. Instead, it was exploited for the extraction of brain fibers as a support element for image interpolation aiming the 3D reconstruction of the brain volume from the 2D sub-sampled data. In this respect, a 2D-2D interpolation with realignment of the structures was developed as a second methodological contribution of the thesis. We proposed a geometric interpolation approach controlled by a prior mapping of the corresponding structures in the images, which in our case were the tumor region, the fibers, the brain ventricles and the contour of the brain. An atlas containing the unique labels of the structures to be matched is thus built up for each image. Labels of the same value are aligned using a field of directional vectors established at the level of their contours, in a higher dimensional space (3D here). The diffusion of this field of vectors results in a smooth directional flow from one image to the other, which represents the homeomorphic transformation between the two images. The proposed method has two advantages: it is general, which is demonstrated on different image modalities (microscopy, CT, MRI, atlas) and it allows controlling the alignment of structures whose correspondence is targeted in priority
Sadikine, Mohamed Amine. "Deep vascular segmentation with geometric and topological constraints." Electronic Thesis or Diss., Brest, 2024. http://www.theses.fr/2024BRES0042.
Full textIn the evolving field of medical image analysis, blood vessel segmentation plays a key role in improving computer-aided diagnosis and surgical planning. This work combines three innovative contributions to advance the automatic segmentation of vascular structures. Firstly, we introduce a novel methodology that enhances U-Net inspired architectures with a semi-overcomplete convolutional auto-encoder that integrates shape priors to improve the delineation of intricate vascular systems, with a specific emphasis on characterizing fine structures. Subsequently, our research delves into enhancing vessel delineation through a novel joint prior encoding mechanism that combines geometric and topological constraints, providing a unified latent space that captures contextual information and connectivity of blood vessels, thereby addressing the challenges posed by their anatomical variability. Finally, we present a novel clustering technique for scale decomposition, along with a multi-task supervised approach that incorporates scale-specific auxiliary tasks and contrastive learning. These advances represent a step forward in reliable automated vascular segmentation, offering the potential to enhance clinical outcomes in a wide range of applications in clinical routine
Books on the topic "Imagerie médicale – Vaisseaux sanguins"
1934-, Hiramatsu Kyōichi, Zeitler E. 1930-, and Rossi Plinio, eds. Recent advances in interventional radiology and new vascular imaging. Amsterdam: Excerpta Medica, 1989.
Find full textW, Bakal Curtis, ed. Vascular and interventional radiology: Principles and practices. New York: Thieme, 2002.
Find full textRegillo, Carl D., Thomas A. Ciulla, and Alon Harris. Retina and Optic Nerve Imaging. Lippincott Williams & Wilkins, 2003.
Find full text(Editor), Kyoichi Hiramatsu, Eberhard Zeitler (Editor), and Plinio Rossi (Editor), eds. Recent Advances in Interventional Radiology and New Vascular Imaging (International congress series). Elsevier, 1989.
Find full textBakal, Curtis W. Vascular and Interventional Radiology: Principles and Practice. Thieme Medical Publishers, 2002.
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