Conference proceeding
Separation of artery and vein in contrast-enhanced MRA images
Proceedings of SPIE, Vol.3978(1), pp.233-244
Medical Imaging 2000: Physiology and Function from Multidimensional Images
04/20/2000
DOI: 10.1117/12.383403
Abstract
This paper presents a near automatic process for separating vessels from background and other clutter as well as for separating arteries and veins in contrast-enhanced MR angiographic (CE-MRA) images, and an optimal method for the 3D visualization of vascular structures. The anatomic separation process utilizes fuzzy connected object delineation principles and algorithms. Its first step is the segmentation of the entire vessel structure from the background and other clutter via absolute fuzzy connectedness. Its second step is to separate artery from vein within this entire vessel structure via relative fuzzy connectedness. After 'seed' points are specified inside artery and vein in the vessel-only image, the regions of the bigger aspects of artery and vein are separated in the initial iteration. Further regions are added with subsequent iterations so that the detailed aspects of artery and vein are included in later iterations. This approach has been applied to EPIX Medical Inc's CE-MRA data. 3D images/movies of vessels, arteries, and veins have been created. Shell renditions are colored differently for arteries and veins in a composite display. This approach can produce separated artery and vein images with high quality, reliability, and minimal user interaction, in a clinical setting. All case studies were performed on a Gateway Pentium PC under Linux, and the whole procedure per study was completed in a few minutes.
Details
- Title: Subtitle
- Separation of artery and vein in contrast-enhanced MRA images
- Creators
- Tianhu Lei - Univ. of Pennsylvania (USA)Jayaram K Udupa - Univ. of Pennsylvania (USA)Punam K Saha - Univ. of Pennsylvania (USA)Dewey Odhner - Univ. of Pennsylvania (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.3978(1), pp.233-244
- Conference
- Medical Imaging 2000: Physiology and Function from Multidimensional Images
- DOI
- 10.1117/12.383403
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/20/2000
- Academic Unit
- Electrical and Computer Engineering; Radiology
- Record Identifier
- 9984051975402771
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