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Proceedings Paper

Elastic registration of MRA brain images using salient blood vessel features
Author(s): Kit-Cheng Ng; Timothy S. Newman
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Paper Abstract

In this paper, a new local registration method is introduced. The method enables regional refinements to an initial coarse global alignment of two magnetic resonance angiography (MRA) volume datasets through the use of snake-based local elastic deformations on blood vessel curves. The curves are deformed based on corresponding salient features (points of bifurcation and high curvature) that are extracted using a multi-stage method. The extraction involves first tracing blood vessel curves from depth-enhanced maximal intensity projections of the original volume data and then fitting B-splines to the traced structures. The framework for a new approach to volume warping which completes the refinement process for all points in the datasets is also introduced. The local registration method offers the promise registering data collected over time from a patient.

Paper Details

Date Published: 21 May 1999
PDF: 12 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348635
Show Author Affiliations
Kit-Cheng Ng, Univ. of Alabama in Huntsville (United States)
Timothy S. Newman, Univ. of Alabama in Huntsville (United States)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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