3D Virtual Histopathology by Multiscale X - Ray Phase - Contrast Tomography Novel Tools and Applications
3D Virtual Histopathology by Multiscale X - Ray PhasContrast Tomography Novel Tools and Applications | 33.39 MB
Title: 3D Virtual Histopathology by Multiscale X - Ray PhasContrast Tomography Novel Tools and Applications
Author: Jakob Reichmann
Category: Nonfiction, Science & Nature, Science, Biological Sciences, Molecular Physics, Health & Well Being, Medical, Specialties, Oncology, Medical Science
Language: English | 308 Pages | ISBN: 9783030604332
Description:
X-ray imaging is a corner stone of breast cancer diagnosis. By exploiting the phase shift of X-rays rather than their attenuation, phase-contrast tomography has the potential to dramatically increase the visibility of small and low contrast features, thus leading to better diagnosis. This thesis presents research on the first synchrotron-based project developing a clinical phase-contrast breast computed tomography (CT) setup at Elettra, the Italian Syncrotron Radiation Facility. This book includes a comprehensive theoretical background on propagation-based phase-contrast imaging, exploring and extending the most recent image formation models. Along with theory, many practical implementation and optimization issues, ranging from detector-specific processing to setup geometry, are tackled on the basis of a large number of experimental evidences. Most of the modelling results and data analysis have general validity, being a valuable framework for optimization of phase-contrast setups. Results obtained at synchrotron are also compared with "real world" laboratory sources: both a first-of-its-kind comparison with one of the few hospital breast CT systems and a state-of-the-art implementation of monochromatic phase-contrast micro-tomography with a conventional rotating anode source are presented. On a more general level, this work sheds a light on the importance of synchrotron-based clinical programs, which are key to trigger the long-anticipated transition of phase-contrast imaging from synchrotrons to hospitals.
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https://nitroflare.com/view/B7FAE3AD7BF589C/3D_Virtual_Histopathology_by_Multiscale_X-Ray_Phase-Contrast_Tomography_Novel_Tools_and_Applications.rar
X-ray imaging is a corner stone of breast cancer diagnosis. By exploiting the phase shift of X-rays rather than their attenuation, phase-contrast tomography has the potential to dramatically increase the visibility of small and low contrast features, thus leading to better diagnosis. This thesis presents research on the first synchrotron-based project developing a clinical phase-contrast breast computed tomography (CT) setup at Elettra, the Italian Syncrotron Radiation Facility. This book includes a comprehensive theoretical background on propagation-based phase-contrast imaging, exploring and extending the most recent image formation models. Along with theory, many practical implementation and optimization issues, ranging from detector-specific processing to setup geometry, are tackled on the basis of a large number of experimental evidences. Most of the modelling results and data analysis have general validity, being a valuable framework for optimization of phase-contrast setups. Results obtained at synchrotron are also compared with "real world" laboratory sources: both a first-of-its-kind comparison with one of the few hospital breast CT systems and a state-of-the-art implementation of monochromatic phase-contrast micro-tomography with a conventional rotating anode source are presented. On a more general level, this work sheds a light on the importance of synchrotron-based clinical programs, which are key to trigger the long-anticipated transition of phase-contrast imaging from synchrotrons to hospitals.
DOWNLOAD:
https://rapidgator.net/file/dd274a0842fe43d03f725890fd84b10a/3D_Virtual_Histopathology_by_Multiscale_X-Ray_Phase-Contrast_Tomography_Novel_Tools_and_Applications.rar
https://nitroflare.com/view/B7FAE3AD7BF589C/3D_Virtual_Histopathology_by_Multiscale_X-Ray_Phase-Contrast_Tomography_Novel_Tools_and_Applications.rar
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