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Proceedings Paper

3D MR angiographic visualization and artery-vein separation
Author(s): Tianhu Lei; Jayaram K. Udupa; Punam K. Saha; Dewey Odhner
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Paper Abstract

The common approach for artery-vein separation applies a presaturation pulse to obtain different image intensity representations in MRA data for arteries and veins. However, when arteries and veins do not run in opposite directions as in the brain, lungs, and heart, this approach fails. This paper presents an image processing approach devised for artery-vein separation. The anatomic separation utilizes fuzzy connected object delineation. The first step of this separation method is the segmentation of the entire vessel structure from the background via absolute connectedness by using scale-based affinity. The second step is to separate artery from vein via relative connectedness. After 'seed' points are specified inside artery and vein in the vessel- only image, the operation is performed in an iterative fashion. The small regions of the bigger aspects of artery and vein are separated in the initial iteration. Further regions are added with the subsequent iterations so that the small aspects of artery and vein are included in alter iterations. Shell rendering is used for 3D display. Combining the strengths of fuzzy connected object definition, object separation, and shell rendering, high- quality volume rendering of vascular information in MRA data has been achieved. MS-325 contrast-enhanced MRA were used to illustrate this approach. Several examples of 3D display of arteries and veins are included to show the considerable promise of this new approach.

Paper Details

Date Published: 26 May 1999
PDF: 9 pages
Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); doi: 10.1117/12.349475
Show Author Affiliations
Tianhu Lei, Univ. of Pennsylvania (United States)
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Punam K. Saha, Univ. of Pennsylvania (United States)
Dewey Odhner, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 3658:
Medical Imaging 1999: Image Display
Seong Ki Mun; Yongmin Kim, Editor(s)

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