Volume 43, Issue 6 pp. 892-895
Note

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

H.E. Cline

Corresponding Author

H.E. Cline

GE Corporate Research and Development, Schenectady, New York

GE Corporate Research and Development, Bld. K-1, Rm. 1C32, 1 Research Circle, Niskayuna, NY 12309===Search for more papers by this author
D.R. Thedens

D.R. Thedens

Department of Electrical Engineering, Stanford University, Stanford, California

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C.H. Meyer

C.H. Meyer

Department of Electrical Engineering, Stanford University, Stanford, California

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D.G. Nishimura

D.G. Nishimura

Department of Electrical Engineering, Stanford University, Stanford, California

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T.K. Foo

T.K. Foo

GE Medical Systems, Milwaukee, Wisconsin

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S. Ludke

S. Ludke

GE Corporate Research and Development, Schenectady, New York

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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. © 2000 Wiley-Liss, Inc.

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