Literature DB >> 10861885

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

H E Cline1, D R Thedens, C H Meyer, D G Nishimura, T K Foo, S Ludke.   

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. Magn Reson Med 43:892-895, 2000. Copyright 2000 Wiley-Liss, Inc.

Mesh:

Year:  2000        PMID: 10861885     DOI: 10.1002/1522-2594(200006)43:6<892::aid-mrm16>3.0.co;2-q

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  1 in total

1.  Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study.

Authors:  Xiaoliang Gong; Chao Ma; Panpan Yang; Yufei Chen; Chaolin Du; Caixia Fu; Jian-Ping Lu
Journal:  Acta Radiol Open       Date:  2019-03-27
  1 in total

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