Combined connectivity and a gray-level morphological filter in magnetic resonance coronary angiography

H. E. Cline, D. R. Thedens, C. H. Meyer, D. G. Nishimura, T. K. Foo, S. Ludke

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

A connectivity algorithm combined with a new gray-level morphological filter dramatically improves the segmentation of tortuous coronary arteries from 3D MRI. Small coronary arteries are segmented from the larger ventricles with a new filter. These blood vessels are segmented from the noise background with connectivity. Coronary angiograms were computed in nine datasets acquired on volunteers with 3D stack of spirals and contrast- enhanced navigator sequences by both a maximum intensity projection and surface rendering. Surface images provided depth information needed to distinguish branching arteries from crossing veins. (C) 2000 Wiley-Liss, Inc.

Original languageEnglish (US)
Pages (from-to)892-895
Number of pages4
JournalMagnetic Resonance in Medicine
Volume43
Issue number6
DOIs
StatePublished - 2000
Externally publishedYes

Keywords

  • Angiograms
  • Cardiac
  • Coronary
  • Segmentation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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