Simultaneous boundary and partial volume estimation in medical images

Dzung L. Pham, Pierre Louis Bazin

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


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 fractions in single-channel image data. Unlike previous methods, the proposed algorithm simultaneously estimates partial volume fractions, the means of the different tissue classes, as well as the the locations of tissue boundaries within the image. The latter allows the partial volume fractions to be constrained to represent pure or nearly pure tissue except along tissue boundaries. We demonstrate the application of the algorithm on simulated and real magnetic resonance images.

Original languageEnglish (US)
Pages (from-to)119-126
Number of pages8
JournalLecture Notes in Computer Science
Issue numberPART 1
StatePublished - 2004
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: Sep 26 2004Sep 29 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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