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Literature DB >> 18215817

A modified expectation maximization algorithm for penalized likelihood estimation in emission tomography.

Abstract

The maximum likelihood (ML) expectation maximization (EM) approach in emission tomography has been very popular in medical imaging for several years. In spite of this, no satisfactory convergent modifications have been proposed for the regularized approach. Here, a modification of the EM algorithm is presented. The new method is a natural extension of the EM for maximizing likelihood with concave priors. Convergence proofs are given.

Entities: Disease

Year: 1995 PMID： 18215817 DOI： 10.1109/42.370409

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

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Cited

58 in total

1. Time of flight PET reconstruction using nonuniform update for regional recovery uniformity.

Authors: Kyungsang Kim; Donghwan Kim; Jaewon Yang; Georges El Fakhri; Youngho Seo; Jeffrey A Fessler; Quanzheng Li
Journal: Med Phys Date: 2019-01-04 Impact factor: 4.071

2. Regularization parameter selection for penalized-likelihood list-mode image reconstruction in PET.

Authors: Mengxi Zhang; Jian Zhou; Xiaofeng Niu; Evren Asma; Wenli Wang; Jinyi Qi
Journal: Phys Med Biol Date: 2017-04-12 Impact factor: 3.609

3. An overview of fast convergent ordered-subsets reconstruction methods for emission tomography based on the incremental EM algorithm.

Authors: Ing-Tsung Hsiao; Parmeshwar Khurd; Anand Rangarajan; Gene Gindi
Journal: Nucl Instrum Methods Phys Res A Date: 2006-12-20 Impact factor: 1.455

A modified expectation maximization algorithm for penalized likelihood estimation in emission tomography.

1. Time of flight PET reconstruction using nonuniform update for regional recovery uniformity.

2. Regularization parameter selection for penalized-likelihood list-mode image reconstruction in PET.

3. An overview of fast convergent ordered-subsets reconstruction methods for emission tomography based on the incremental EM algorithm.

4. Iterative image reconstruction for CBCT using edge-preserving prior.

5. Electronic noise modeling in statistical iterative reconstruction.

6. Penalized maximum likelihood reconstruction for improved microcalcification detection in breast tomosynthesis.

7. Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection.

8. Choosing anatomical-prior strength for MAP SPECT reconstruction to maximize lesion detectability.

9. Multi-material decomposition using statistical image reconstruction for spectral CT.

10. PET image reconstruction using kernel method.