Atlas of Pathological Anatomy
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Development of an Anaglyph Anatomical Atlas of Rabbit as a New Generation of Printable 3D Anatomical Atlases
Introduction: To improve anatomical atlases, we tried to create a printable 3D atlas of rabbit's anatomy based on the Anaglyph. Methods: In this study, twenty white rabbits euthanized and dissected. All 3D images were reconstructed by means of "stereo photo maker (SPM®)" software. Results: By this atlas, users can easily understand nomenclature, the topography and, certainly, the transpo...
متن کاملChen 3 - D Deformable Registration Using a Statistical Atlas with Applications in Medicine Mei
Registering medical images of different individuals is difficult due to inherent anatomical variabilities and possible pathologies. This thesis focuses on characterizing non-pathological variations in human brain anatomy, and applying such knowledge to achieve accurate 3D deformable registration. Inherent anatomical variations are automatically extracted by deformably registering training data ...
متن کامل3-d Deformable Registration Using a Statistical Atlas with Applications in Medicine
Registering medical images of different individuals is difficult due to inherent anatomical variabilities and possible pathologies. This thesis focuses on characterizing non-pathological variations in human brain anatomy, and applying such knowledge to achieve accurate 3D deformable registration. Inherent anatomical variations are automatically extracted by deformably registering training data ...
متن کاملMorcellation-Induced Leiomyomatosis Peritonealis Disseminata: A Rare Case Report
Leiomyomatosis peritonealis disseminata (LPD) is a benign disease characterized by the presence of multiple small nodules on the omentum, parietal, and visceral peritoneum. It corresponds to leiomyoma and often resembles metastases of malignant tumors; however, with favorable prognosis. Here we describe a 46-year-old woman, diagnosed with LPD, to demonstrate the etiopathogenesis of the develope...
متن کاملAtlas to Image-with-Tumor Registration based on Demons and Deformation Inpainting
This paper presents a method for nonlinear registration of images, where there exists no one-to-one correspondence in parts of the image. Such a situation occurs for instance in the case where an atlas of normal anatomy shall be matched to pathological data, such as tumors, resections or lesions. Our idea is to use local confidence weights and to model pathological regions with zero confidence....
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