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 guidin...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Panetta, Daniele (VerfasserIn), Camarlinghi, Niccolò (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2020
Ausgabe:	First edition
Schriftenreihe:	Focus series in medical physics and biomedical engineering
Schlagworte:	bisacsh / SCIENCE / Physics Bildrekonstruktion Positronen-Emissions-Tomografie Computertomografie Python > Programmiersprache
Zusammenfassung:	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 backgroundAccompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press websiteIdeal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsetsDaniele 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.Niccol 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.
Beschreibung:	1. Preliminary notions; 2. Short guide on Python samples; 3. Analytical reconstruction algorithms; 4. Iterative reconstruction algorithms; 5. Overview of methods for generation of projection data
Beschreibung:	xvi, 118 Seiten Illustrationen, Diagramme 216 mm
ISBN:	9780367219970