Gray-scale skeletonization of small vessels in magnetic resonance angiography.

Abstract:

:Interpretation of magnetic resonance angiography (MRA) is problematic due to complexities of vascular shape and to artifacts such as the partial volume effect. We present new methods to assist in the interpretation of MRA. These include methods for detection of vessel paths and for determination of branching patterns of vascular trees. They are based on the ordered region growing (ORG) algorithm that represents the image as an acyclic graph, which can be reduced to a skeleton by specifying vessel endpoints or by a pruning process. Ambiguities in the vessel branching due to vessel overlap are effectively resolved by heuristic methods that incorporate a priori knowledge of bifurcation spacing. Vessel paths are detected at interactive speeds on a 500-MHz processor using vessel endpoints. These methods apply best to smaller vessels where the image intensity peaks at the center of the lumen which, for the abdominal MRA, includes vessels whose diameter is less than 1 cm.

journal_name

IEEE Trans Med Imaging

authors

Yim PJ,Choyke PL,Summers RM

doi

10.1109/42.870662

subject

Has Abstract

pub_date

2000-06-01 00:00:00

pages

568-76

issue

6

eissn

0278-0062

issn

1558-254X

journal_volume

19

pub_type

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