Three-dimensional volume registration of carotid MR images

Baowei Fei, Jasjit S. Suri, David L. Wilson

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

This chapter describes automatic three-dimensional registration techniques for magnetic resonance images of carotid vessels. The immediate applications include atherosclerotic plaque characterization and plaque burden quantification vector-based segmentation using dark blood MR images having multiple contrast weightings (proton density (PD), T1, and T2). Another application is the measurement of disease progression and regression with drug trials. A normalized mutual information registration algorithm is applied to compensate movements between image acquisitions. PD, T1, and T2 images were acquired from patients and volunteers and then matched for image analysis. Visualization methods such as contour overlap showed that vessels well aligned after registration. Distance measurements from the landmarks indicated that the registration method worked well with an error of less than 1-mm.

Original languageEnglish (US)
Pages (from-to)394-411
Number of pages18
JournalStudies in health technology and informatics
Volume113
StatePublished - 2005
Externally publishedYes

Keywords

  • Image registration
  • carotid plaque classification
  • dark blood MR image
  • mutual information
  • non-rigid registration

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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