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Image reconstruction: Algorithms and analysis (2006)
| Citations: | 18 - 2 self |
BibTeX
@MISC{Fessler06imagereconstruction:,
author = {Jeffrey A. Fessler},
title = {Image reconstruction: Algorithms and analysis},
year = {2006}
}
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Abstract
This book describes the theory and practice of iterative methods for tomographic image reconstruction and related inverse problems such as image restoration. I emphasize methods that are rooted in statisticalmodels for the measure-ment noise; previous texts have emphasized primarily analytical image reconstruction methods or iterative methods that are based on algebraic principles rather than statistical models. Some of the earliest tomographic images created by Hounsfield [1,2] for X-ray computed tomography were formed using iterative methods. And even earlier than that, Muehllehner and Wetzel described an iterative method for (4 view) SPECT reconstruction [3]. Around the same time, Kuhl et al. also developed iterative methods for SPECT [4, p. 183] [5]. However, by the mid 1970’s the analytical filter-backproject (FBP) method quickly became the method used exclusively in routine clinical practice for tomographic reconstruction for many years [6, p. 695]. In the late 1990’s, statistical image reconstruction (SIR) methods (of the type described in Chapter 16) were first introduced commercially for reconstructing SPECT and PET images, following many years of academic research demonstrating their benefits. SIR methods soon supplanted the venerable FBP algorithm clinically for PET and SPECT. Full SIR methods for X-ray CT (of the type described in this book) became commercially available in about 2011, motivated primarily by concerns about patient X-ray dose. The enormous computation time of SIR methods for X-ray CT has slowed its adoption and spurred considerable research into acceleration methods.
Keyphrases
iterative method image reconstruction many year x-ray ct sir method pet image tomographic image reconstruction analytical filter-backproject academic research measure-ment noise statistical image reconstruction acceleration method full sir method enormous computation time patient x-ray dose algebraic principle statistical model related inverse problem previous text tomographic image venerable fbp algorithm spect reconstruction routine clinical practice analytical image reconstruction method tomographic reconstruction image restoration considerable research
