3D Image Reconstruction for CT and PET: A Practical Guide with Python

This book is a comprehensive guide to tomographic image reconstruction with projection data, focusing on Computed Tomography (CT) and Positron Emission Tomography (PET). It presents classic methods such as FBP, ART, SIRT, MLEM, and OSEM with modern and compact notation, guiding the reader from mathematical understanding to practical implementation. Accompanied by example data sets, real-ready-to-run Python toolsets, and scripts, it is invaluable for graduate students, early-career researchers, and scientists in medical physics and biomedical engineering.

\n Format: Hardback
\n Length: 118 pages
\n Publication date: 12 October 2020
\n Publisher: Taylor & Francis Ltd
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This comprehensive guide provides a practical approach to tomographic image reconstruction with projection data, with a strong emphasis on Computed Tomography (CT) and Positron Emission Tomography (PET). It offers a comprehensive overview of classic methods such as FBP, ART, SIRT, MLEM, and OSEM, presented in modern and concise notation. The primary objective is to guide readers from a solid understanding of the mathematical foundations to a rapid transition into practical implementation and computer implementation of these algorithms.

To enhance the learning experience, the guide is accompanied by example data sets, real ready-to-run Python toolsets, and scripts. Additionally, an overview of the latest research in the field is provided, making this guide invaluable for graduate students, early-career researchers, and scientists in medical physics and biomedical engineering who are new to the field of image reconstruction.

Daniele Panetta, a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa, has authored this guide. He holds an MSc degree in Physics and a specialisation diploma in Health Physics, both obtained from the University of Pisa. From 2005 to 2007, he worked at the Department of Physics E. Fermi of the University of Pisa, focusing on tomographic image reconstruction for small animal imaging micro-CT instrumentation. Currently, his research at CNR-IFC aims to identify novel PET/CT imaging biomarkers.

This guide is an essential resource for anyone seeking to delve into the realm of image reconstruction, offering a clear and concise path from theory to practical implementation. With its emphasis on modern scientific programming language and toolsets, it is particularly suited for those eager to embark on their journey into this field.

\n Weight: 286g\n
Dimension: 144 x 222 x 15 (mm)\n
ISBN-13: 9780367219970\n \n