Unsupervised partial volume estimation in single-channel image data

Dzung L. Pham, Jerry Ladd Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Partial volume effects are present in nearly all medical imaging data. These artifacts blur the boundaries between different regions, making accurate delineation of anatomical structures difficult. In this paper, we propose a method for unsupervised estimation of partial volume effects in single-channel image data. Based on a statistical image model, an algorithm is derived for estimating both partial volumes and the means of the different tissue classes in the image. To compensate for the ill-posed nature of the estimation problem, we employ a Bayesian approach that places a prior probability model on the parameters. We demonstrate on simulated and real images that the new algorithm is superior in several respects to the fuzzy and Gaussian clustering algorithms that have previously been used for modeling partial volume effects.

Original languageEnglish (US)
Title of host publicationProceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis
PublisherIEEE
Pages170-177
Number of pages8
StatePublished - 2000
Externally publishedYes
EventMMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis - Hilton Head Island, SC, USA
Duration: Jun 11 2000Jun 12 2000

Other

OtherMMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
CityHilton Head Island, SC, USA
Period6/11/006/12/00

Fingerprint

Partial
Image Model
Prior Probability
Medical Imaging
Probability Model
Bayesian Approach
Statistical Model
Clustering Algorithm
Modeling
Demonstrate
Class

ASJC Scopus subject areas

  • Analysis

Cite this

Pham, D. L., & Prince, J. L. (2000). Unsupervised partial volume estimation in single-channel image data. In Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis (pp. 170-177). IEEE.

Unsupervised partial volume estimation in single-channel image data. / Pham, Dzung L.; Prince, Jerry Ladd.

Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE, 2000. p. 170-177.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pham, DL & Prince, JL 2000, Unsupervised partial volume estimation in single-channel image data. in Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE, pp. 170-177, MMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Hilton Head Island, SC, USA, 6/11/00.
Pham DL, Prince JL. Unsupervised partial volume estimation in single-channel image data. In Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE. 2000. p. 170-177
Pham, Dzung L. ; Prince, Jerry Ladd. / Unsupervised partial volume estimation in single-channel image data. Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE, 2000. pp. 170-177
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