Artery-vein separation via MRA: An image processing approach

Tianhu LEI; Jayaram K UDUPA; Punam K SAHA; Dewey ODHNER

doi:10.1109/42.938238

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Artery-vein separation via MRA: An image processing approach

Journal article

Peer reviewed

Artery-vein separation via MRA: An image processing approach

Tianhu LEI, Jayaram K UDUPA, Punam K SAHA and Dewey ODHNER

IEEE transactions on medical imaging, Vol.20(8), pp.689-703

2001

DOI: 10.1109/42.938238

PMID: 11513021

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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 magnetic resonance angiographic (CE-MRA) image data, and an optimal method for three-dimensional visualization of vascular structures. The separation process utilizes fuzzy connected object delineation principles and algorithms. The first step of this separation process is the segmentation of the entire vessel structure from the background and other clutter via absolute fuzzy connectedness. The second step is to separate artery from vein within this entire vessel structure via iterative relative fuzzy connectedness. After seed voxels are specified inside artery and vein in the CE-MRA image, the small regions of the bigger aspects of artery and vein are separated in the initial iterations, and further detailed aspects of artery and vein are included in later iterations. At each iteration, the artery and vein compete among themselves to grab membership of each voxel in the vessel structure based on the relative strength of connectedness of the voxel in the artery and vein. This approach has been implemented in a software package for routine use in a clinical setting and tested on 133 CE-MRA studies of the pelvic region and two studies of the carotid system from six different hospitals. In all studies, unified parameter settings produced correct artery-vein separation. When compared with manual segmentation/separation, our algorithms were able to separate higher order branches, and therefore produced vastly more details in the segmented vascular structure. The total operator and computer time taken per study is on the average about 4.5 min. To date, this technique seems to be the only image processing approach that can be routinely applied for artery and vein separation.

Cardiovascular System

Radiodiagnosis. Nmr imagery. Nmr spectrometry

Investigative techniques, diagnostic techniques (general aspects)

Computerized, statistical medical data processing and models in biomedicine

Biological and medical sciences

Medical sciences

General aspects. Methods

Details

Title: Subtitle: Artery-vein separation via MRA: An image processing approach
Creators: Tianhu LEI - Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
Jayaram K UDUPA - Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 4th Floor, Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, United States
Punam K SAHA - Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
Dewey ODHNER - Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.20(8), pp.689-703
DOI: 10.1109/42.938238
PMID: 11513021
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers; New York, NY
Language: English
Date published: 2001
Academic Unit: Radiology; Electrical and Computer Engineering
Record Identifier: 9984051891102771

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