Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees.

One major problem with nonrigid image registration techniques is their high computational cost. Because of this, these methods have found limited application to clinical situations where fast execution is required, e.g., intraoperative imaging. This paper presents a parallel implementation of a nonr...

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Bibliographic Details
Published in:	IEEE Transactions on information technology in biomedicine 7, 1 (2003).
Main Author:	Rohlfing, T.
Format:	Article
Language:	English
Subjects:	SGI Origin 3800. Biomedical applications. Computational cost. Computational subproblem. Contrast-enhanced MR mammography. Cranial image-guided surgery. Data partitioning. Execution time requirements. Intersubject brain registration. Intraoperative brain deformation. Intraoperative imaging. Multithreaded programming. Nonrigid image registration techniques. Parallel algorithm. Scaling behavior. Serial component. Shared-memory multiprocessor computer architectures. Speedup. Task partitioning.