Work

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

Year: 2000

Type: article

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.

Source: Magnetic Resonance in Medicine

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

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

Institutions: General Electric (United States), Stanford University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2004719764

FWCI: 2.616

Cites: 18

Cited by: 16

Related to: 10