NDLI: Nonrigid Registration of Images with Different Topologies using Embedded Maps

Content Provider	IEEE Xplore Digital Library
Author	Wyatt, C.L. Laurienti, P.J.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Wake Forest Univ., Winston-Salem, NC (Wyatt, C.L.; Laurienti, P.J.)
Abstract	Changes in image topology occur in medical images due to normal variation in anatomy, image artifacts, and the presence of pathology. Non-rigid registration of images undergoing topological change for the purpose of atlas-based segmentation or deformation analysis is challenging since non-smooth geometric transformations must be introduced. As most registration methods impose a smoothness constraint on the allowable transformations they either do not model such changes or perform poorly in their presence. In this paper we describe an approach to non-rigid registration treating the images as embedded maps that deform in a Riemannian space. We show that smooth transformations representing topological changes in the original images can be obtained and describe the evolution in terms of a partial differential equation. Two-dimensional examples from brain morphometry are used to illustrate the method
Sponsorship	IEEE EMB
Starting Page	4823
Ending Page	4827
File Size	639322
Page Count	5
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260785
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Topology Biomedical imaging Image segmentation Partial differential equations Optimization methods Level set Multiple sclerosis Cities and towns USA Councils Anatomy
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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