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Iterative reconstruction algorithms in nuclear medicine
Computerized Medical Imaging and Graphics, 2001Iterative reconstruction algorithms produce accurate images without streak artifacts as in filtered backprojection. They allow improved incorporation of important corrections for image degrading effects, such as attenuation, scatter and depth-dependent resolution.
Stefaan Vandenberghe +2 more
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American Journal of Roentgenology, 2014 The purpose of this study was to determine whether there is added benefit to model-based iterative reconstruction as compared with adaptive statistical iterative reconstruction on low-dose abdominal CT in the clinical context of known or suspected ...
Diomidis Botsikas +2 more
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An optimal rotator for iterative reconstruction
IEEE Transactions on Medical Imaging, 1997For implementations of iterative reconstruction algorithms that rotate the image matrix, the characteristics of the rotator may affect the reconstruction quality. Desirable qualities for the rotator include: (1) preservation of global and local image counts; (2) accurate count positioning; (3) a uniform and predictable amount of blurring due to the ...
Jerold Warren Wallis, T. R. Miller
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Iterative reconstruction in cardiac CT
Journal of Cardiovascular Computed Tomography, 2015Iterative reconstruction (IR) has the ability to reduce image noise in CT without compromising diagnostic quality, which permits a significant reduction in effective radiation dose. This been increasingly integrated into clinical CT practice over the past 7 years and has been particularly important in the field of cardiac CT with multiple vendors ...
Christopher, Naoum +2 more
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A new iterative reconstruction scheme for signal reconstruction
APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, 2008Projection Onto Convex Sets (POCS) is an iterative method to obtain the information from one domain using the information available in other domains, and it has been widely used in image restoration problems and block-based DCT compression standards as a post-processing scheme.
Honglin Huang, Anamitra Makur
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Iterative reconstruction of CT images on GPUs
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013Although widely used in nuclear medicine (gamma-camera, single photon emission computed tomography (SPECT), positron emission tomography (PET)), iterative reconstruction has not yet penetrated in CT. The main reason for this is that data sets in CT are much larger than in nuclear medicine and iterative reconstruction then becomes computationally very ...
Liubov A. Flores +4 more
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Subsets and overrelaxation in iterative image reconstruction
Physics in Medicine and Biology, 1999A number of iterative image reconstruction algorithms were integrated into one formula characterizing each algorithm by only two parameters: overrelaxation and number of subsets. From the formula it follows that the ordered-subsets iteration (OS-EM) is equivalent to iteration with overrelaxation, where the OS level corresponds to the overrelaxation ...
P, Schmidlin, M E, Bellemann, G, Brix
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Convergence of iterative signal reconstruction algorithms
ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005This paper is concerned with the development of a general convergence proof which is applicable to a particular class of iterative signal reconstruction algorithms. The proof relies on the concept of a nonexpansive mapping and the uniqueness of the desired signal.
Thomas F. Quatieri +3 more
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Iterative reconstruction algorithms in compressed sensing
2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers, 2011In this paper we give an overview of current results in iterative reconstruction of sparse signals using parity check matrices of low-density parity check (LDPC) codes as measurement matrices in compressed sensing. We provide a detailed explanation of two iterative reconstruction algorithms, Interval Passing (IP) algorithm and verification algorithm ...
Danjean, Ludovic +3 more
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Iterative image reconstruction: a wavelet approach
IEEE Signal Processing Letters, 1998Image reconstruction from the measurements of the image Fourier transform magnitude remains an important and difficult problem. Among all the approaches developed to solve this problem, the iterative transform algorithms are currently the most efficient. However, these algorithms suffer from major drawbacks that limit their practical application.
Wissam A. Rabadi, Harley R. Myler
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