3D Image Reconstruction for CT and PET: A Practical Guide with Python-P2P
This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.

3D Image Reconstruction for CT and PET: A Practical Guide with Python-P2P
English | 2020 | ISBN-13: 978-0367219970 | 135 Pages | True PDF | 8.52 MB
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3D Image Reconstruction for CT and PET: A Practical Guide with Python-P2P
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