Medical Image Reconstruction
A Conceptual Tutorial
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Beschreibung
"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l0-minimization are also included.
This book is written for engineers and researchers in the field of biomedical engineering specializing in medical imaging and image processing with image reconstruction.
Gengsheng Lawrence Zeng is an expert in the development of medical image reconstruction algorithms and is a professor at the Department of Radiology, University of Utah, Salt Lake City, Utah, USA.
Clearly explains the concepts with minimum mathematical derivation Written in reader-friendly style Helps the readers to understand modern image reconstruction algorithms with little background Provides more than 140 illustrations Presents up-to-date results in analytical and iterative image reconstruction
Autor*in
Gengsheng Zeng
Themen in »Medical Image Reconstruction«
HEP Image reconstruction Medical imaging Positronen-Emissions-Tomographie Radon transform Tomography algorithm biomedical engineering computed tomography (CT) image processing