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Medical Image Registration using Geometric Hashing

André Guéziec 1 Xavier Pennec 2, * Nicholas Ayache 2, * 
* Corresponding author
2 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : To carefully compare pictures of the same thing taken from different views, the images must first be registered, or aligned so as to best superimpose them. Results show that two geometric hashing methods, based respectively on curves and characteristic features, can be used to compute 3D transformations that automatically register medical images of the same patient in a practical, fast, accurate, and reliable manner.
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Submitted on : Wednesday, August 17, 2011 - 11:27:58 PM
Last modification on : Friday, November 18, 2022 - 9:26:01 AM
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André Guéziec, Xavier Pennec, Nicholas Ayache. Medical Image Registration using Geometric Hashing. IEEE Computational Science and Engineering, 1997, 4 (4), pp.29-41. ⟨10.1109/99.641607⟩. ⟨inria-00615068⟩



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