Image reconstruction : applications in medical sciences / Gengsheng Lawrence Zeng.

This book introduces the classical and modern image reconstruction technologies. It covers topics in two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. Both analytical and iterative methods are presented. The applicati...

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Bibliographic Details
Main Author: Zeng, Gengsheng Lawrence (Author)
Format: eBook
Language:English
Published: Berlin ; Boston : De Gruyter, [2017]
Series:De Gruyter textbook.
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Online Access:Click for online access

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100 1 |a Zeng, Gengsheng Lawrence,  |e author. 
245 1 0 |a Image reconstruction :  |b applications in medical sciences /  |c Gengsheng Lawrence Zeng. 
264 1 |a Berlin ;  |a Boston :  |b De Gruyter,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (xiii, 225 pages) :  |b illustrations 
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505 0 0 |t Frontmatter --  |t Preface --  |t Contents --  |t 1. Basic principles of tomography --  |t 2. Parallel-beam image reconstruction --  |t 3. Fan-beam image reconstruction --  |t 4. Transmission and emission tomography --  |t 5. Three-dimensional image reconstruction --  |t 6. Iterative reconstruction --  |t 7. MRI reconstruction --  |t 8. Using FBP to perform iterative reconstruction --  |t Index. 
520 |a This book introduces the classical and modern image reconstruction technologies. It covers topics in two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. Both analytical and iterative methods are presented. The applications in X-ray CT, SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging) are discussed. Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly under-sampled data are included. The last chapter of the book is devoted to the techniques of using a fast analytical algorithm to reconstruct an image that is equivalent to an iterative reconstruction. These techniques are the author's most recent research results. This book is intended for students, engineers, and researchers who are interested in medical image reconstruction. Written in a non-mathematical way, this book provides an easy access to modern mathematical methods in medical imaging. 
546 |a In English. 
588 0 |a Online resource; title from PDF title page (publisher's Web site, viewed Apr. 18, 2017). 
504 |a Bibliography 2. Parallel-beam image reconstruction ; 2.1 Fourier transform ; 2.2 Central slice theorem ; 2.3 Reconstruction algorithms ; 2.3.1 Method 1 ; 2.3.2 Method 2 ; 2.3.3 Method 3 ; 2.3.4 Method 4 ; 2.3.5 Method 5 ; 2.3.6 Method 6 ; 2.4 A computer simulation. 
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