Multi - scale 3D virtual histology via phase - contrast X - ray tomography with synchrotron radiation

Multi - scale 3D virtual histology via phascontrast X - ray tomography with synchrotron radiation | 47.84 MB
Title: Multi - scale 3D virtual histology via phascontrast X - ray tomography with synchrotron radiation
Author: Jasper Frohn
Category: Nonfiction, Science & Nature, Science, Biological Sciences, Molecular Physics, Health & Well Being, Medical, Specialties, Oncology, Medical Science
Language: English | 148 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/0A8580042237A40/Multi-scale_3D_virtual_histology_via_phase-contrast_X-ray_tomography_with_synchrotron_radiation_%EF%BB%BF.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/3d98a57dd7f1b548996aef661b25fd79/Multi-scale_3D_virtual_histology_via_phase-contrast_X-ray_tomography_with_synchrotron_radiation_.rar
https://nitroflare.com/view/0A8580042237A40/Multi-scale_3D_virtual_histology_via_phase-contrast_X-ray_tomography_with_synchrotron_radiation_%EF%BB%BF.rar
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