Literature DB >> 18218355

Developments with maximum likelihood X-ray computed tomography.

J A Browne1, T J Holmes.   

Abstract

An approach to the maximum-likelihood estimation of attenuation coefficients in transmission tomography is presented as an extension of earlier theoretical work by K. Lange and R. Carson (J. Comput. Assist. Tomography, vol.8, p.306-16, 1984). The reconstruction algorithm is based on the expectation-maximization (EM) algorithm. Several simplifying approximations are introduced which make the maximization step of the algorithm available. Computer simulations are presented using noise-free and Poisson randomized projections. The images obtained with the EM-type method are compared to those reconstructed with the EM method of Lange and Carson and with filtered backprojection. Preliminary results show that there are potential advantages in using the maximum likelihood approaches in situations where a high-contrast object, such as bone, is embedded in low-contrast soft tissue.

Year:  1992        PMID: 18218355     DOI: 10.1109/42.126909

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


  6 in total

1.  Technical Note: Emission expectation maximization look-alike algorithms for x-ray CT and other applications.

Authors:  Gengsheng L Zeng
Journal:  Med Phys       Date:  2018-07-02       Impact factor: 4.071

Review 2.  Technical aspects of dental CBCT: state of the art.

Authors:  R Pauwels; K Araki; J H Siewerdsen; S S Thongvigitmanee
Journal:  Dentomaxillofac Radiol       Date:  2015       Impact factor: 2.419

3.  Does Noise Weighting Matter in CT Iterative Reconstruction?

Authors:  Gengsheng L Zeng; Wenli Wang
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2016-11-18

4.  Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction.

Authors:  Adam M Alessio; Paul E Kinahan; Ken Sauer; Mannudeep K Kalra; Bruno De Man
Journal:  IEEE Trans Med Imaging       Date:  2016-11-09       Impact factor: 10.048

5.  Characterization of tissue-specific pre-log Bayesian CT reconstruction by texture-dose relationship.

Authors:  Yongfeng Gao; Zhengrong Liang; Yuxiang Xing; Hao Zhang; Marc Pomeroy; Siming Lu; Jianhua Ma; Hongbing Lu; William Moore
Journal:  Med Phys       Date:  2020-09-05       Impact factor: 4.071

6.  Low-dose CT image and projection dataset.

Authors:  Taylor R Moen; Baiyu Chen; David R Holmes; Xinhui Duan; Zhicong Yu; Lifeng Yu; Shuai Leng; Joel G Fletcher; Cynthia H McCollough
Journal:  Med Phys       Date:  2020-12-16       Impact factor: 4.071

  6 in total

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