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Relevant bibliographies by topics / 3D pathology

Academic literature on the topic '3D pathology'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "3D pathology"

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Liu, Jonathan T. C., Adam K. Glaser, Kaustav Bera, Lawrence D. True, Nicholas P. Reder, Kevin W. Eliceiri, and Anant Madabhushi. "Harnessing non-destructive 3D pathology." Nature Biomedical Engineering 5, no. 3 (February 15, 2021): 203–18. http://dx.doi.org/10.1038/s41551-020-00681-x.

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Pantoja, Enrique. "L'Ultrasonographie en pathologie digestive[Ultrasound of digestive pathology]. 3d ed." Radiology 161, no. 1 (October 1986): 152. http://dx.doi.org/10.1148/radiology.161.1.152.

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Tuan, R. S. "3D Microphysiological models for osteochondral pathology." Osteoarthritis and Cartilage 26 (April 2018): S5. http://dx.doi.org/10.1016/j.joca.2018.02.021.

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Zwönitzer, Ralf, Harald Hofmann, Albert Roessner, and Thomas Kalinski. "Virtual 3D microscopy in pathology education." Human Pathology 41, no. 3 (March 2010): 457–58. http://dx.doi.org/10.1016/j.humpath.2009.10.012.

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Turchini, John, Michael E. Buckland, Anthony J. Gill, and Shane Battye. "Three-Dimensional Pathology Specimen Modeling Using “Structure-From-Motion” Photogrammetry: A Powerful New Tool for Surgical Pathology." Archives of Pathology & Laboratory Medicine 142, no. 11 (May 30, 2018): 1415–20. http://dx.doi.org/10.5858/arpa.2017-0145-oa.

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Context.— Three-dimensional (3D) photogrammetry is a method of image-based modeling in which data points in digital images, taken from offset viewpoints, are analyzed to generate a 3D model. This modeling technique has been widely used in the context of geomorphology and artificial imagery, but has yet to be used within the realm of anatomic pathology. Objective.— To describe the application of a 3D photogrammetry system capable of producing high-quality 3D digital models and its uses in routine surgical pathology practice as well as medical education. Design.— We modeled specimens received in the 2 participating laboratories. The capture and photogrammetry process was automated using user control software, a digital single-lens reflex camera, and digital turntable, to generate a 3D model with the output in a PDF file. Results.— The entity demonstrated in each specimen was well demarcated and easily identified. Adjacent normal tissue could also be easily distinguished. Colors were preserved. The concave shapes of any cystic structures or normal convex rounded structures were discernable. Surgically important regions were identifiable. Conclusions.— Macroscopic 3D modeling of specimens can be achieved through Structure-From-Motion photogrammetry technology and can be applied quickly and easily in routine laboratory practice. There are numerous advantages to the use of 3D photogrammetry in pathology, including improved clinicopathologic correlation for the surgeon and enhanced medical education, revolutionizing the digital pathology museum with virtual reality environments and 3D-printing specimen models.

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Hanna, Matthew G., Ishtiaque Ahmed, Jeffrey Nine, Shyam Prajapati, and Liron Pantanowitz. "Augmented Reality Technology Using Microsoft HoloLens in Anatomic Pathology." Archives of Pathology & Laboratory Medicine 142, no. 5 (January 31, 2018): 638–44. http://dx.doi.org/10.5858/arpa.2017-0189-oa.

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Context Augmented reality (AR) devices such as the Microsoft HoloLens have not been well used in the medical field. Objective To test the HoloLens for clinical and nonclinical applications in pathology. Design A Microsoft HoloLens was tested for virtual annotation during autopsy, viewing 3D gross and microscopic pathology specimens, navigating whole slide images, telepathology, as well as real-time pathology-radiology correlation. Results Pathology residents performing an autopsy wearing the HoloLens were remotely instructed with real-time diagrams, annotations, and voice instruction. 3D-scanned gross pathology specimens could be viewed as holograms and easily manipulated. Telepathology was supported during gross examination and at the time of intraoperative consultation, allowing users to remotely access a pathologist for guidance and to virtually annotate areas of interest on specimens in real-time. The HoloLens permitted radiographs to be coregistered on gross specimens and thereby enhanced locating important pathologic findings. The HoloLens also allowed easy viewing and navigation of whole slide images, using an AR workstation, including multiple coregistered tissue sections facilitating volumetric pathology evaluation. Conclusions The HoloLens is a novel AR tool with multiple clinical and nonclinical applications in pathology. The device was comfortable to wear, easy to use, provided sufficient computing power, and supported high-resolution imaging. It was useful for autopsy, gross and microscopic examination, and ideally suited for digital pathology. Unique applications include remote supervision and annotation, 3D image viewing and manipulation, telepathology in a mixed-reality environment, and real-time pathology-radiology correlation.

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Khan, AR, M. Cocker, JD Spence, M. Alturkustani, C. Currie, C. Cathie, L. Hammond, et al. "3D carotid reconstructions: imaging, pathology, algorithms and pipelines." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 42, S1 (May 2015): S37. http://dx.doi.org/10.1017/cjn.2015.170.

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Background: Whole-slide scanning of tissue sections spatially informed by imaging studies offers the opportunity to reconstruct specimens for co-registration to 3D imaging data. Digital image analysis algorithms can be designed to analyze and reconstruct such specimens via electronic “pipelines”. Methods: A goal of the Canadian Atherosclerosis Imaging Network (CAIN) is to improve the assessment of carotid atheromatous disease through studies that inform clinical imaging with gold-standard data (plaque pathology). To achieve this, sectioned atheromas are manually annotated and analyzed by electronic algorithm for pathological features of interest. Resulting images are then reassembled in 3D for registration to ultrasound, CT, PET-CT and MRI studies. Results: Carotid endarterectomy specimens were sub-serially sectioned, stained, digitized and annotated manually and by electronic algorithms. Resulting 2D images were successfully rendered, reassembled and analyzed in 3D using ex-vivo micro-CT as a spatial reference. Furthermore, histology quantification using colour deconvolution was found to be preferred over hue-saturation-intensity methods 94.7-100% of the time in a blinded multiple rater study. Conclusion: Automated “pipelines” greatly facilitate 3D reconstruction in comparison to traditional slice-by-slice methods. Transformations spatially guided by pre-existing imaging data is not only faster, but has superior objectivity and fidelity. With embedded annotations, 3D pathology maps become a rich, micron-level, permanent digital pathological database for correlative studies.

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Eastwood, James D. "3D Angiographic Atlas of Neurovascular Anatomy and Pathology." American Journal of Roentgenology 189, no. 6 (December 2007): W387. http://dx.doi.org/10.2214/ajr.07.2745.

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Kalinski, Thomas, Ralf Zwönitzer, Thomas Jonczyk-Weber, Harald Hofmann, Johannes Bernarding, and Albert Roessner. "Improvements in education in pathology: Virtual 3D specimens." Pathology - Research and Practice 205, no. 12 (December 2009): 811–14. http://dx.doi.org/10.1016/j.prp.2009.04.011.

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Okishev, D. N., A. E. Podoprigora, O. B. Belousova, Yu V. Pilipenko, O. D. Shechtman, N. V. Lasunin, A. Yu Belyaev, et al. "Individual preoperative 3D modeling of vascular brain pathology." Voprosy neirokhirurgii imeni N.N. Burdenko 83, no. 4 (2019): 34. http://dx.doi.org/10.17116/neiro20198304134.

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Dissertations / Theses on the topic "3D pathology"

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Al-Kwifi, Osama. "Development of 3D magnetic resonance angiography for the detection of vascular pathology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ60407.pdf.

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Meija, Jorge, Richard Van Hoesel, Anna O'Brien, Ingrid McClelland Yeend, Cong-Van M. Nguyen, Earl E. Johnson, and Harvey Dillon. "Acoustic Simulation Using 3d Modeling of the Development of a Super-directional System, past, Present and Future." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etsu-works/1759.

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It is well established that modern directional microphones in hearing aids provide listeners with an improved speech understanding in noise. De-spite this, the impact of directional microphones in real life conditions is limited. In fact, hearing in noise remains one of the biggest problems for hearing aid users. Fortunately, recent developments in super-directional technology, at least in laboratory settings, promise to deliver significant benefits to hearing aid users. Experiments suggest large improvements in speech understanding in noise and significant preference for highly directional systems. This advantage is often extrapolated to suggest equal advantages in real world listening situations. However, it is increasingly apparent that hearing in noise entails various complex tasks for the listener. Consequently, super-directional technology may be advantageous in some situations but may also have some limitations in its usage. Here we present a discussion of super-directional microphone technology based on several studies. In our research we have examined various factors that influence benefit such as beam width design, adaptation speed, preservation of spatial cues, vent sizes, acoustic scene, and reverberation. Our evidence appears to be confounded by individual characteristics of the listener such as age, hearing loss, personality traits, and cognition. All these factors combined will guide our discussions and thoughts about future research and development of super-directional systems

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Ogunleke, Abiodun. "Imagerie chimique 3D de tumeurs du cerveau." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0040/document.

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L'histologie tridimensionnelle (3D) est un nouvel outil avancé de cancérologie. L'ensemble du profil chimique et des caractéristiques physiologiques d'un tissu est essentiel pour comprendre la logique du développement d'une pathologie. Cependant, il n'existe aucune technique analytique, in vivo ou histologique, capable de découvrir de telles caractéristiques anormales et de fournir une distribution3D à une résolution microscopique. Nous présentons ici une méthode unique de microscopie infrarouge (IR) à haut débit combinant une correction d'image automatisée et une analyse ultérieure des données spectrales pour la reconstruction d'image 3D-IR. Nous avons effectué l'analyse spectrale d'un organe complet pour un petit modèle animal, un cerveau de souris avec une tumeur de gliome implantée. L'image 3D-IR est reconstruite à partir de 370 coupes de tissus consécutives et corrigée à l'aide du tomogramme à rayons X de l'organe pour une analyse quantitative précise du contenu chimique. Une matrice 3D de spectres IR 89 x 106 est générée, ce qui nous permet de séparer la masse tumorale des tissus cérébraux sains en fonction de divers paramètres anatomiques,chimiques et métaboliques. Nous démontrons pour la première fois que des paramètres métaboliques quantitatifs (glucose, glycogène et lactate) peuvent être extraits et reconstruits en 3D à partir des spectres IR pour la caractérisation du métabolisme cérébral / tumoral (évaluation de l'effet de Warburg dans les tumeurs). Notre méthode peut être davantage exploitée en recherchant l'ensemble du profil spectral, en distinguant différents points de repère anatomiques dans le cerveau.Nous le démontrons par la reconstruction du corps calleux et de la région des noyaux gris centraux du cerveau
Three-dimensional (3D) histology is a new advanced tool for cancerology. The whole chemical profile and physiological characteristics of a tissue is essential to understand the rationale of pathology development. However, there is no analytical technique, in vivo or histological, that is able to discover such abnormal features and provide a 3D distribution at microscopic resolution.Here, we introduce a unique high- throughput infrared (IR) microscopy method that combines automated image correction and subsequent spectral data analysis for 3D-IR image reconstruction. I performed spectral analysis of a complete organ for a small animal model, a mouse brain with animplanted glioma tumor. The 3D-IR image is reconstructed from 370 consecutive tissue sectionsand corrected using the X-ray tomogram of the organ for an accurate quantitative analysis of thechemical content. A 3D matrix of 89 x 106 IR spectra is generated, allowing us to separate the tumor mass from healthy brain tissues based on various anatomical, chemical, and metabolic parameters. I demonstrate for the first time that quantitative metabolic parameters (glucose, glycogen and lactate) can be extracted and reconstructed in 3D from the IR spectra for the characterization of the brain vs. tumor metabolism (assessing the Warburg effect in tumors). Our method can be further exploited by searching for the whole spectral profile, discriminating different anatomical landmarks in the brain. I demonstrate this by the reconstruction of the corpus callosum and basal ganglia region of the brain

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Swenson, Robert David. "The effects of bioprinting materials on HEPM cell proliferation and cytokine release." Thesis, University of Iowa, 2018. https://ir.uiowa.edu/etd/6299.

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Objectives: Three-dimensional (3D) bioprinting is a manufacturing process that incorporates viable cells into a 3D matrix by adding layer upon layer of material. The objectives of this study are to characterize a novel matrix of collagen and hydroxyapatite and to assess the effects of the 3D bioprinting process on cytotoxicity, proliferation rate, and cytokine expression of Homo sapiens palatal mesenchyme (HEPM) cells. Methods: For this, we prepared a 3D matrix of collagen and hydroxyapatite without and with cells. We used light microscopy, scanning electron microscopy (SEM), and transmission electron microscopy (TEM) to characterize the structure and arrangement of the collagen fibers. We then incubated the matrix with known standards of cytokines to measure adsorption. We assessed the proliferation and viability of HEPM cells in the presence of the 3D construct and after 3D bioprinting. Finally, we assessed the cytotoxicity of this matrix for HEPM cells and assessed its effect on the production of chemokines and cytokines. A one-way fixed effect ANOVA was fit to concentrations of cytokines and pairwise group comparisons were conducted using Tukey’s Honest Significant Differences test (p< 0.05). Results: The matrix was found to contain interwoven strands of collagen and some hydroxyapatite crystals that did not absorb cytokines except for MIP-1a (p< 0.05). The matrix was found to be non-cytotoxic using an AlamarBlue® assay. We found that the cell proliferation rate was lower when seeded on the 3D construct than in 2D culture. We also found that the proliferation rate was very low for the HEPM cells in the 3D bioprinted constructs. In the presence of the 3D construct, the HEPM cells had similar expression profiles of the cytokines measured (P > 0.05 for GM-CSF, IL-6, IL-8, and RANTES). Conclusion: 3D-bioprinting has the potential to be used in dentistry as a novel osteogenic bone grafting material. Here we show that a novel matrix of collagen and hydroxyapatite is non-cytotoxic to HEPM cells and does not induce a proinflammatory response.

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Vijayan, Suvendra. "Reliability of 3D-printed mandibles constructed from CBCT volumes of different voxel sizes." Thesis, University of Iowa, 2018. https://ir.uiowa.edu/etd/6323.

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Objectives: The aim of the current study is to establish the reliability of linear cephalometric measurements made on mandibles and their respective 3D printed models created from different voxel resolutions from a cone beam CT machine. Materials and methods: Ten dry mandibles obtained from the Department of Oral Pathology, Radiology and Medicine at The University of Iowa College Of Dentistry were used for this study. All mandibles were scanned on the i-CAT FLX cone beam CT machine (Imaging Sciences International, LLC, Pennsylvania, USA) using voxel resolutions of .30mm, .25mm and .20 mm in a 16cm x 8cm field of view using 360° rotation. The 3D models were reconstructed and saved as .STL files using 3D Slicer software and send to a 3D printer for printing. Two observers measured the 10 mandibles and 30 3D printed models. The measurement were repeated on 50% of the samples after at least one week interval. Cronbach’s alpha and intraclass correlation coefficient were calculated to measure reliability. Results: Good to excellent interobserver and intraobserver reliability was achieved across most of the measurements. There was no difference in reliability across models made from different voxel sizes. Conclusion: The current study successfully showed that the reliability of measurements made on 3D printed models of dry skull mandibles created using fused deposition modeling technique using images of different voxel sizes from an i-CAT FLX CBCT machine are valid, reproducible, and reliable and can be used for diagnostic and clinical purposes.

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Erdogmus, Nesli. "Utilisation des données 3D pour la reconnaissance du visage." Phd thesis, Télécom ParisTech, 2012. http://pastel.archives-ouvertes.fr/pastel-00982374.

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Avec l'augmentation des applications de sécurité, un sujet particulier a attiré plus d'attention que de nombreux autres domaines en reconnaissance de formes : la biométrie - la reconnaissance des personnes en fonction de leur physique et/ou de leurs traits comportementaux. Parmi ces traits, le visage se distingue par un compromis favorable entre accessibilité et fiabilité. Dans cette thèse, nous avons principalement travaillé sur une modalité relativement plus récente en reconnaissance du visage : la forme 3D. Plus avantageuse que son homologue en 2D, car intrinsèquement invariant aux changements d'illumination de pose, l'analyse 3D du visage se heurte encore à des défis majeurs tels que les déformations de surface du visage dues aux expressions ou occultations. En conséquence, une étude approfondie est effectuée sur ce sujet incluant le prétraitement des données 3D du visage, l'annotation automatique, la simulation d'altération et d'expressions en 3D, l'extraction de caractéristiques 3D et l'analyse locale de surface.

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Namati, Eman, and eman@namati com. "Pre-Clinical Multi-Modal Imaging for Assessment of Pulmonary Structure, Function and Pathology." Flinders University. Computer Science, Engineering and Mathematics, 2008. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20081013.044657.

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In this thesis, we describe several imaging techniques specifically designed and developed for the assessment of pulmonary structure, function and pathology. We then describe the application of this technology within appropriate biological systems, including the identification, tracking and assessment of lung tumors in a mouse model of lung cancer. The design and development of a Large Image Microscope Array (LIMA), an integrated whole organ serial sectioning and imaging system, is described with emphasis on whole lung tissue. This system provides a means for acquiring 3D pathology of fixed whole lung specimens with no infiltrative embedment medium using a purpose-built vibratome and imaging system. This system enables spatial correspondence between histology and non-invasive imaging modalities such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), providing precise correlation of the underlying 'ground truth' pathology back to the in vivo imaging data. The LIMA system is evaluated using fixed lung specimens from sheep and mice, resulting in large, high-quality pathology datasets that are accurately registered to their respective CT and H&E histology. The implementation of an in vivo micro-CT imaging system in the context of pulmonary imaging is described. Several techniques are initially developed to reduce artifacts commonly associated with commercial micro-CT systems, including geometric gantry calibration, ring artifact reduction and beam hardening correction. A computer controlled Intermittent Iso-pressure Breath Hold (IIBH) ventilation system is then developed for reduction of respiratory motion artifacts in live, breathing mice. A study validating the repeatability of extracting valuable pulmonary metrics using this technique against standard respiratory gating techniques is then presented. The development of an ex vivo laser scanning confocal microscopy (LSCM) and an in vivo catheter based confocal microscopy (CBCM) pulmonary imaging technique is described. Direct high-resolution imaging of sub-pleural alveoli is presented and an alveolar mechanic study is undertaken. Through direct quantitative assessment of alveoli during inflation and deflation, recruitment and de-recruitment of alveoli is quantitatively measured. Based on the empirical data obtained in this study, a new theory on alveolar mechanics is proposed. Finally, a longitudinal mouse lung cancer study utilizing the imaging techniques described and developed throughout this thesis is presented. Lung tumors are identified, tracked and analyzed over a 6-month period using a combination of micro-CT, micro-PET, micro-MRI, LSCM, CBCM, LIMA and H&E histology imaging. The growth rate of individual tumors is measured using the micro-CT data and traced back to the histology using the LIMA system. A significant difference in tumor growth rates within mice is observed, including slow growing, regressive, disappearing and aggressive tumors, while no difference between the phenotype of tumors was found from the H&E histology. Micro-PET and micro-MRI imaging was conducted at the 6-month time point and revealed the limitation of these systems for detection of small lesions ( < 2mm) in this mouse model of lung cancer. The CBCM imaging provided the first high-resolution live pathology of this mouse model of lung cancer and revealed distinct differences between normal, suspicious and tumor regions. In addition, a difference was found between control A/J mice parenchyma and Urethane A/J mice normal parenchyma, suggesting a 'field effect' as a result of the Urethane administration and/or tumor burden. In conclusion, a comprehensive murine lung cancer imaging study was undertaken, and new information regarding the progression of tumors over time has been revealed.

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Sweet, David Ryan. "Kruppel-Like Factor 2 Regulation of Aging and Healthspan: A Link Between the 3D Nucleome and Disease." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1619459260412975.

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Michel, Fabrice. "Multi-Modal Similarity Learning for 3D Deformable Registration of Medical Images." Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-01005141.

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Even though the prospect of fusing images issued by different medical imagery systems is highly contemplated, the practical instantiation of it is subject to a theoretical hurdle: the definition of a similarity between images. Efforts in this field have proved successful for select pairs of images; however defining a suitable similarity between images regardless of their origin is one of the biggest challenges in deformable registration. In this thesis, we chose to develop generic approaches that allow the comparison of any two given modality. The recent advances in Machine Learning permitted us to provide innovative solutions to this very challenging problem. To tackle the problem of comparing incommensurable data we chose to view it as a data embedding problem where one embeds all the data in a common space in which comparison is possible. To this end, we explored the projection of one image space onto the image space of the other as well as the projection of both image spaces onto a common image space in which the comparison calculations are conducted. This was done by the study of the correspondences between image features in a pre-aligned dataset. In the pursuit of these goals, new methods for image regression as well as multi-modal metric learning methods were developed. The resulting learned similarities are then incorporated into a discrete optimization framework that mitigates the need for a differentiable criterion. Lastly we investigate on a new method that discards the constraint of a database of images that are pre-aligned, only requiring data annotated (segmented) by a physician. Experiments are conducted on two challenging medical images data-sets (Pre-Aligned MRI images and PET/CT images) to justify the benefits of our approach.

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Jensen, Lauren Elizabeth. "Mechanical preparation of oval-shaped root canals in mandibular premolars with the TRUShape 3D Conforming File: a micro-computed tomography study." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5523.

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The TRUShape 3D Conforming File (TRUShape), a novel, S-shaped nickel-titanium (NiTi) rotary file, was developed to facilitate cleaning and shaping of irregular-shaped root canals. The purpose of this study was to evaluate the shaping ability of TRUShape compared to Vortex Blue (VB) when used in non-round, oval-shaped root canals by micro-computed tomography (MCT). Thirty single-rooted human mandibular premolar teeth with radiographically similar root canal size and curvature were randomly allocated to two groups (N=15), and mechanically prepared with TRUShape or VB. Each tooth was submitted to MCT at 20 μm resolution at three time intervals: before shaping, and after shaping to an intermediate apical size 30 and a final apical size 40. Three-dimensional data sets were superimposed and evaluated for root canal volume, surface area, and treated surface. Matched axial slices in the apical, middle, and coronal root thirds were evaluated for area, roundness, and canal transportation expressed as center of mass shift (CMS). Data were statistically analyzed using parametric and non-parametric tests. Root canal volumes increased similarly and significantly overall (p< 0.001; from an initial volume of 7.3±3.5 mm3 to an intermediate volume of 8.7±3.1 mm3 and a final volume of 9.9±3.0 mm3). Treated canal surface was significantly larger in the TRUShape group at both apical sizes 30 and 40 with 72±15% vs. 55±23% and 85±12% vs. 71±20% non-static voxels for TRUShape and VB, respectively (p< 0.05). Canal transportation was less than 100 μm in all but 8 out of 90 cross sections and was not significantly different between groups. This MCT study demonstrated the TRUShape 3D Conforming File to be effective in the mechanical preparation, specifically, the surface treatment, of single-rooted premolars with non-round, oval-shaped root canals. Funding was provided by the American Association of Endodontists (AAE) Foundation and the Department of Endodontics at the University of Iowa, College of Dentistry.

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Books on the topic "3D pathology"

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K, Costantini Jay, ed. 3D angiographic atlas of neurovascular anatomy and pathology. Cambridge: Cambridge University Press, 2007.

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Kretschmann, Hans-Joachim. Neurofunctional systems: 3D reconstructions with correlated neuroimaging. Stuttgart: Thieme, 1998.

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Borden, Neil M. 3D Angiographic Atlas of Neurovascular Anatomy and Pathology. Cambridge University Press, 2006.

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3D Angiographic Atlas of Neurovascular Anatomy and Pathology. Cambridge University Press, 2007.

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Charts, Anatomical, and Primal. Exploring the Shoulder: A 3D Overview of Anatomy and Pathology. Anatomical Chart Company, 2004.

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Svrakic, Dragan M., and Mirjana Divac Jovanovic. The Fragmented Personality. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190884574.001.0001.

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This book pioneers a new model of personality disorder primarily intended to serve mental health professionals, those already in practice and equally those in training. In contrast to the static concepts of mental normalcy and pathology, the presented nosology is dynamic (accounts for the reversibility of mental functioning) and personalized, context- and time sensitive. In a 3D diagnostic cylinder, the coordinates cross match the person’s common level of mental functioning (vertical diagnosis) with his or her behavior style (horizontal diagnosis) at a point in space and a unit of time, giving the clinician precise milestones to monitor changes in diagnosis and progress in therapy. The central problem with persons suffering from personality disorder does not rest in their extreme behaviors but rather underneath the surface, in the fragmented substrate of personality (a core deficit sine qua non shared by all individual variants), while extreme behaviors merely represent variable compensatory strategies. Based on this model, mechanism-based treatments are outlined: reconstructive interpersonal psychotherapy (a novel, integrative, transtheoretical approach which relies on psychoanalytic and humanist traditions) and mechanism-based pharmacotherapy of neurobiological vulnerabilities associated with excessive temperament traits.

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Book chapters on the topic "3D pathology"

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Huang, Kuan-Chih, Jiunn-Lee Lin, and Lung-Chun Lin. "Transthoracic Echocardiography: Improved Practice by Real-Time 3D Acquisition and Automation." In Right Heart Pathology, 573–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73764-5_33.

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Sun, Zhonghua. "3D Printing As a New Technique in Management of Right Heart Pathology." In Right Heart Pathology, 641–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73764-5_38.

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Gimelli, Alessia, and Elena Filidei. "Will 3D Imaging of the Heart Replace Pathology?" In From Basic Cardiac Imaging to Image Fusion, 103–13. Milano: Springer Milan, 2013. http://dx.doi.org/10.1007/978-88-470-2760-2_7.

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Krechetova, Katrina, and A. Glazs. "Volume Estimation of Pathology Zones in 3D Medical Images." In IFMBE Proceedings, 617–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_147.

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Ahmad, Imran, Britta Millhoff, Sarah Muldoon, and Kayathrie Jeyarajah. "Virtual Endoscopy and 3-D Reconstruction in Patients with Airway Pathology." In Virtual Endoscopy and 3D Reconstruction in the Airways, 39–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23253-5_5.

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Krechetova, Katrina, A. Glaz, and A. Platkajis. "3D Medical Image Visualization and Volume Estimation of Pathology Zones." In IFMBE Proceedings, 532–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69367-3_142.

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Behrenbruch, Christian P., Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, and J. Michael Brady. "MRI – Mammography 2D/3D Data Fusion for Breast Pathology Assessment." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000, 307–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-40899-4_31.

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Nguyen, Huu-Giao, Alessia Pica, Philippe Maeder, Ann Schalenbourg, Marta Peroni, Jan Hrbacek, Damien C. Weber, Meritxell Bach Cuadra, and Raphael Sznitman. "Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs." In Computational Pathology and Ophthalmic Medical Image Analysis, 167–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00949-6_20.

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Prokop, Mathias. "Clinical Applications of 3D Imaging in Thoracic Vascular Pathology: Pulmonary Vascular Applications." In Diseases of the Heart and Chest, Including Breast 2011–2014, 127–35. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1938-6_20.

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Kugler, Mauricio, Yushi Goto, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, and Hidekata Hontani. "Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains." In Computational Pathology and Ophthalmic Medical Image Analysis, 35–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00949-6_5.

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Conference papers on the topic "3D pathology"

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Johnson, Carol, Mark Landis, Richard Inculet, Richard Malthaner, Dalilah Fortin, George B. Rodrigues, Brian P. Yaremko, et al. "3D human lung histology reconstruction and registration to in vivo imaging." In Digital Pathology, edited by Metin N. Gurcan and John E. Tomaszewski. SPIE, 2018. http://dx.doi.org/10.1117/12.2292210.

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Kawamura, Naoki, Hirokazu Kobayashi, Tatsuya Yokota, Hidekata Hontani, Chika Iwamoto, Kenoki Ohuchida, and Makoto Hashizume. "Landmark-based reconstruction of 3D smooth structures from serial histological sections." In Digital Pathology, edited by Metin N. Gurcan and John E. Tomaszewski. SPIE, 2018. http://dx.doi.org/10.1117/12.2293510.

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Johnson, Starr, Scott Doyle, and Margaret Brandwein. "Registration parameter optimization for 3D tissue modeling from resected tumors cut into serial H&E slides." In Digital Pathology, edited by Metin N. Gurcan and John E. Tomaszewski. SPIE, 2018. http://dx.doi.org/10.1117/12.2293962.

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Icke, Ilknur, Alice Z. Zhang, Sonal Singh, Belma Dogdas, Christian Mirescu, Matthew Kennedy, and Sophia Bardehle. "3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease." In Digital Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2019. http://dx.doi.org/10.1117/12.2512452.

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Gottrup, Christian, Mark G. Beckett, Henrik Hager, and Peter Locht. "3D-Pathology: a real-time system for quantitative diagnostic pathology and visualisation in 3D." In Electronic Imaging 2005, edited by Nasser Kehtarnavaz and Phillip A. Laplante. SPIE, 2005. http://dx.doi.org/10.1117/12.596891.

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Zavaletta, Vanessa, Brian Bartholmai, and Richard Robb. "3D MORPHOLOGICAL ANALYSIS OF LUNG PATHOLOGY." In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2007. http://dx.doi.org/10.1109/isbi.2007.356850.

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Voung, Barry, Beau Standish, Carry Sun, Gary Tearney, Rasmus Kiehl, Theodorus van der Kwast, Jarley Koo, et al. "3D optical coherence tomography and digital pathology." In 2011 International Quantum Electronics Conference (IQEC) and Conference on Lasers and Electro-Optics (CLEO) Pacific Rim. IEEE, 2011. http://dx.doi.org/10.1109/iqec-cleo.2011.6193757.

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Cai, Weidong, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, and Dagan Feng. "3D neurological image retrieval with localized pathology-centric CMRGlc patterns." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5651869.

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Liang, Yanhui, Hoang Vo, Ablimit Aji, Jun Kong, and Fusheng Wang. "Scalable 3D spatial queries for analytical pathology imaging with MapReduce." In SIGSPATIAL'16: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2996913.2996925.

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Wan, Ken Lee, Arkendu Sen, Lakshmi Selvaratnam, Joon Joon Khoo, and Pathmanathan Rajadurai. "ADDRESSING THE ‘PATHOLOGY GAP’ IN CLINICAL EDUCATION AND INTERNSHIP: THE IMPETUS TO DEVELOP DIGITAL (3D) ANATOMIC PATHOLOGY LEARNING RESOURCES." In 13th International Technology, Education and Development Conference. IATED, 2019. http://dx.doi.org/10.21125/inted.2019.0654.

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