The effects of incorrect modeling on noise and resolution properties of ML-EM images

D. W. Wilson; H. H. Barrett

doi:10.1109/TNS.2002.1039561

The effects of incorrect modeling on noise and resolution properties of ML-EM images

D. W. Wilson, H. H. Barrett

Medical Imaging

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The effects of incorrect compensation for collimator blur in single-photon emission computed tomography (SPECT) images are studied in terms of the noise and resolution properties of the reconstructed images. Qualitative analysis of images of the Hoffman brain phantom reconstructed using nonlinear maximum-likelihood-expectation maximization (ML-EM) show the behavior of longer noise correlations for high-pass filtered images. These qualitative observations are confirmed with more quantitative noise measures. The differences also appear in images reconstructed using linear Landweber iteration. However, the signal-to-noise ratio, in terms of the noise-equivalent quanta, remains largely unchanged. We conclude that the compensation model affects SPECT image properties, though the effect on human task performance remains to be studied.

Original language	English (US)
Pages (from-to)	768-773
Number of pages	6
Journal	IEEE Transactions on Nuclear Science
Volume	49 I
Issue number	3
DOIs	https://doi.org/10.1109/TNS.2002.1039561
State	Published - Jun 2002

Keywords

Image reconstruction
Image resolution
Image restoration

ASJC Scopus subject areas

Nuclear and High Energy Physics
Nuclear Energy and Engineering
Electrical and Electronic Engineering

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10.1109/TNS.2002.1039561

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title = "The effects of incorrect modeling on noise and resolution properties of ML-EM images",

abstract = "The effects of incorrect compensation for collimator blur in single-photon emission computed tomography (SPECT) images are studied in terms of the noise and resolution properties of the reconstructed images. Qualitative analysis of images of the Hoffman brain phantom reconstructed using nonlinear maximum-likelihood-expectation maximization (ML-EM) show the behavior of longer noise correlations for high-pass filtered images. These qualitative observations are confirmed with more quantitative noise measures. The differences also appear in images reconstructed using linear Landweber iteration. However, the signal-to-noise ratio, in terms of the noise-equivalent quanta, remains largely unchanged. We conclude that the compensation model affects SPECT image properties, though the effect on human task performance remains to be studied.",

keywords = "Image reconstruction, Image resolution, Image restoration",

author = "Wilson, {D. W.} and Barrett, {H. H.}",

note = "Funding Information: Manuscript received December 28, 2000; revised July 17, 2001. This work was supported by the National Institutes of Health under Grants RO1 CA52643 and P41 RR14304. D. W. Wilson is with the Department of Radiology, University of Arizona, Tucson, AZ 85724 USA (e-mail: [email protected]). H. H. Barrett is with the Department of Radiology and the Optical Science Center, University of Arizona, Tucson, AZ 85724 USA (e-mail: [email protected]). Publisher Item Identifier S 0018-9499(02)06181-6.",

year = "2002",

month = jun,

doi = "10.1109/TNS.2002.1039561",

language = "English (US)",

volume = "49 I",

pages = "768--773",

journal = "IEEE Transactions on Nuclear Science",

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T1 - The effects of incorrect modeling on noise and resolution properties of ML-EM images

AU - Wilson, D. W.

AU - Barrett, H. H.

N1 - Funding Information: Manuscript received December 28, 2000; revised July 17, 2001. This work was supported by the National Institutes of Health under Grants RO1 CA52643 and P41 RR14304. D. W. Wilson is with the Department of Radiology, University of Arizona, Tucson, AZ 85724 USA (e-mail: [email protected]). H. H. Barrett is with the Department of Radiology and the Optical Science Center, University of Arizona, Tucson, AZ 85724 USA (e-mail: [email protected]). Publisher Item Identifier S 0018-9499(02)06181-6.

PY - 2002/6

Y1 - 2002/6

N2 - The effects of incorrect compensation for collimator blur in single-photon emission computed tomography (SPECT) images are studied in terms of the noise and resolution properties of the reconstructed images. Qualitative analysis of images of the Hoffman brain phantom reconstructed using nonlinear maximum-likelihood-expectation maximization (ML-EM) show the behavior of longer noise correlations for high-pass filtered images. These qualitative observations are confirmed with more quantitative noise measures. The differences also appear in images reconstructed using linear Landweber iteration. However, the signal-to-noise ratio, in terms of the noise-equivalent quanta, remains largely unchanged. We conclude that the compensation model affects SPECT image properties, though the effect on human task performance remains to be studied.

AB - The effects of incorrect compensation for collimator blur in single-photon emission computed tomography (SPECT) images are studied in terms of the noise and resolution properties of the reconstructed images. Qualitative analysis of images of the Hoffman brain phantom reconstructed using nonlinear maximum-likelihood-expectation maximization (ML-EM) show the behavior of longer noise correlations for high-pass filtered images. These qualitative observations are confirmed with more quantitative noise measures. The differences also appear in images reconstructed using linear Landweber iteration. However, the signal-to-noise ratio, in terms of the noise-equivalent quanta, remains largely unchanged. We conclude that the compensation model affects SPECT image properties, though the effect on human task performance remains to be studied.

KW - Image reconstruction

KW - Image resolution

KW - Image restoration

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JO - IEEE Transactions on Nuclear Science

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The effects of incorrect modeling on noise and resolution properties of ML-EM images

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Keywords

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