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- W2071261184 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." @default.
- W2071261184 created "2016-06-24" @default.
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- W2071261184 date "1999-05-21" @default.
- W2071261184 modified "2023-09-25" @default.
- W2071261184 title "<title>Elastic registration of MRA brain images using salient blood vessel features</title>" @default.
- W2071261184 doi "https://doi.org/10.1117/12.348635" @default.
- W2071261184 hasPublicationYear "1999" @default.
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