Evaluating popular non-linear image processing filters for their use in regularized iterative CT

Wei Xu; Klaus Mueller

doi:10.1109/NSSMIC.2010.5874318

Evaluating popular non-linear image processing filters for their use in regularized iterative CT

Wei Xu
, Klaus Mueller

Computer Science

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

Iterative CT algorithms are becoming increasingly popular in recent years, and have been found useful when the projections are limited in number, irregularly spaced, or noisy, which are imaging scenarios often encountered in low-dose imaging and compressed sensing. One way to cope with the associated streak and noise artifacts in these settings is either to incorporate or to interleave a regularization objective into the iterative reconstruction framework. In this paper we explore possible techniques for the latter. We investigate a number of non-linear filters popular in the image processing literature for their suitability in iterative CT application, here OS-SIRT.

Original language	English
Title of host publication	IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010
Pages	2864-2865
Number of pages	2
DOIs	https://doi.org/10.1109/NSSMIC.2010.5874318
State	Published - 2010
Event	2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN, United States Duration: Oct 30 2010 → Nov 6 2010

Publication series

Name	IEEE Nuclear Science Symposium Conference Record
ISSN (Print)	1095-7863

Conference

Conference	2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
Country/Territory	United States
City	Knoxville, TN
Period	10/30/10 → 11/6/10

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10.1109/NSSMIC.2010.5874318

Cite this

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title = "Evaluating popular non-linear image processing filters for their use in regularized iterative CT",

abstract = "Iterative CT algorithms are becoming increasingly popular in recent years, and have been found useful when the projections are limited in number, irregularly spaced, or noisy, which are imaging scenarios often encountered in low-dose imaging and compressed sensing. One way to cope with the associated streak and noise artifacts in these settings is either to incorporate or to interleave a regularization objective into the iterative reconstruction framework. In this paper we explore possible techniques for the latter. We investigate a number of non-linear filters popular in the image processing literature for their suitability in iterative CT application, here OS-SIRT.",

author = "Wei Xu and Klaus Mueller",

year = "2010",

doi = "10.1109/NSSMIC.2010.5874318",

language = "English",

isbn = "9781424491063",

series = "IEEE Nuclear Science Symposium Conference Record",

pages = "2864--2865",

booktitle = "IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010",

note = "2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 ; Conference date: 30-10-2010 Through 06-11-2010",

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Xu, W & Mueller, K 2010, Evaluating popular non-linear image processing filters for their use in regularized iterative CT. in IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010., 5874318, IEEE Nuclear Science Symposium Conference Record, pp. 2864-2865, 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010, Knoxville, TN, United States, 10/30/10. https://doi.org/10.1109/NSSMIC.2010.5874318

Evaluating popular non-linear image processing filters for their use in regularized iterative CT. / Xu, Wei; Mueller, Klaus.
IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010. 2010. p. 2864-2865 5874318 (IEEE Nuclear Science Symposium Conference Record).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Iterative CT algorithms are becoming increasingly popular in recent years, and have been found useful when the projections are limited in number, irregularly spaced, or noisy, which are imaging scenarios often encountered in low-dose imaging and compressed sensing. One way to cope with the associated streak and noise artifacts in these settings is either to incorporate or to interleave a regularization objective into the iterative reconstruction framework. In this paper we explore possible techniques for the latter. We investigate a number of non-linear filters popular in the image processing literature for their suitability in iterative CT application, here OS-SIRT.

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Y2 - 30 October 2010 through 6 November 2010

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Evaluating popular non-linear image processing filters for their use in regularized iterative CT

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