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.
A top-down guide from theory to practical implementation of PET and
CT reconstruction methods, without sacrificing the rigor of
mathematical background Accompanied by Python source code snippets,
suggested exercises, and supplementary ready-to-run examples for
readers to download from the CRC Press website Ideal for those
willing to move their first steps on the real practice of image
reconstruction, with modern scientific programming language and
toolsets Daniele Panetta is a researcher at the Institute of
Clinical Physiology of the Italian National Research Council
(CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and
specialisation diploma in Health Physics in 2008, both at the
University of Pisa. From 2005 to 2007, he worked at the Department
of Physics "E. Fermi" of the University of Pisa in the field of
tomographic image reconstruction for small animal imaging micro-CT
instrumentation. His current research at CNR-IFC has as its goal
the identification of novel PET/CT imaging biomarkers for
cardiovascular and metabolic diseases. In the field micro-CT
imaging, his interests cover applications of three-dimensional
morphometry of biosamples and scaffolds for regenerative medicine.
He acts as reviewer for scientific journals in the field of Medical
Imaging: Physics in Medicine and Biology, Medical Physics, Physica
Medica, and others. Since 2012, he is adjunct professor in Medical
Physics at the University of Pisa. Niccolo Camarlinghi is a
researcher at the University of Pisa. He obtained his MSc in
Physics in 2007 and his PhD in Applied Physics in 2012. He has been
working in the field of Medical Physics since 2008 and his main
research fields are medical image analysis and image
reconstruction. He is involved in the development of clinical,
pre-clinical PET and hadron therapy monitoring scanners. At the
time of writing this book he was a lecturer at University of Pisa,
teaching courses of life-sciences and medical physics laboratory.
He regularly acts as a referee for the following journals: Medical
Physics, Physics in Medicine and Biology, Transactions on Medical
Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP
Journal on Image and Video Processing, Journal of Biomedical and
Health Informatics.
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