Literature DB >> 18218422

On the relation between the ISRA and the EM algorithm for positron emission tomography.

A R De Pierro1.   

Abstract

The image space reconstruction algorithm (ISRA) was proposed as a modification of the expectation maximization (EM) algorithm based on physical considerations for application in volume emission computered tomography. As a consequence of this modification, ISRA searches for least squares solutions instead of maximizing Poisson likelihoods as the EM algorithm. It is shown that both algorithms may be obtained from a common mathematical framework. This fact is used to extend ISRA for penalized likelihood estimates.

Year:  1993        PMID: 18218422     DOI: 10.1109/42.232263

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  19 in total

1.  Nonuniform update for sparse target recovery in fluorescence molecular tomography accelerated by ordered subsets.

Authors:  Dianwen Zhu; Changqing Li
Journal:  Biomed Opt Express       Date:  2014-11-12       Impact factor: 3.732

2.  Statistical iterative reconstruction to improve image quality for digital breast tomosynthesis.

Authors:  Shiyu Xu; Jianping Lu; Otto Zhou; Ying Chen
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

3.  Electronic noise modeling in statistical iterative reconstruction.

Authors:  Jingyan Xu; Benjamin M W Tsui
Journal:  IEEE Trans Image Process       Date:  2009-04-24       Impact factor: 10.856

4.  Penalized-Likelihood Reconstruction With High-Fidelity Measurement Models for High-Resolution Cone-Beam Imaging.

Authors:  Steven Tilley; Matthew Jacobson; Qian Cao; Michael Brehler; Alejandro Sisniega; Wojciech Zbijewski; J Webster Stayman
Journal:  IEEE Trans Med Imaging       Date:  2018-04       Impact factor: 10.048

5.  An expanded theoretical treatment of iteration-dependent majorize-minimize algorithms.

Authors:  Matthew W Jacobson; Jeffrey A Fessler
Journal:  IEEE Trans Image Process       Date:  2007-10       Impact factor: 10.856

6.  Model-Based Deep Learning PET Image Reconstruction Using Forward-Backward Splitting Expectation-Maximization.

Authors:  Abolfazl Mehranian; Andrew J Reader
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-06-23

7.  Statistical projection completion in X-ray CT using consistency conditions.

Authors:  Jingyan Xu; Katsuyuki Taguchi; Benjamin M W Tsui
Journal:  IEEE Trans Med Imaging       Date:  2010-05-03       Impact factor: 10.048

8.  Comparison of SIRT and SQS for Regularized Weighted Least Squares Image Reconstruction.

Authors:  Jens Gregor; Jeffrey A Fessler
Journal:  IEEE Trans Comput Imaging       Date:  2015-06-05

9.  Model-based tomographic reconstruction of objects containing known components.

Authors:  J Webster Stayman; Yoshito Otake; Jerry L Prince; A Jay Khanna; Jeffrey H Siewerdsen
Journal:  IEEE Trans Med Imaging       Date:  2012-05-16       Impact factor: 10.048

10.  Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning.

Authors:  Saiprasad Ravishankar; Jong Chul Ye; Jeffrey A Fessler
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-09-19       Impact factor: 10.961

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