Non-rigid image registration using mutual information

Frederik Maes (), Emiliano D’Agostino, Dirk Loeckx, Jeroen Wouters, Dirk Vandermeulen and Paul Suetens
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Frederik Maes: K.U.Leuven, ESAT/PSI, Medical Image Computing, UZ Gasthuisberg
Emiliano D’Agostino: K.U.Leuven, ESAT/PSI, Medical Image Computing, UZ Gasthuisberg
Dirk Loeckx: K.U.Leuven, ESAT/PSI, Medical Image Computing, UZ Gasthuisberg
Jeroen Wouters: K.U.Leuven, ESAT/PSI, Medical Image Computing, UZ Gasthuisberg
Dirk Vandermeulen: K.U.Leuven, ESAT/PSI, Medical Image Computing, UZ Gasthuisberg
Paul Suetens: K.U.Leuven, ESAT/PSI, Medical Image Computing, UZ Gasthuisberg

A chapter in Compstat 2006 - Proceedings in Computational Statistics, 2006, pp 91-103 from Springer

Abstract: Abstract Robust intensity-based non-rigid image registration and its application for image-based morphometry and the characterization of shape variation and variability is an important research topic in medical image analysis. Recent research in the field has focused on extending the mutual information based registration criterion to non-rigid matching, which is complicated by the statistical nature of the criterion and by the local impact of the non-rigid deformation parameters. In this paper we describe the state of the art in the field and ongoing work within our own research group.

Keywords: Non-rigid image registration; mutual information (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1007/978-3-7908-1709-6_8

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