TY - JOUR
T1 - Correspondence detection using wavelet-based attribute vectors
AU - Xue, Zhong
AU - Shen, Dinggang
AU - Davatzikos, Christos
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2003
Y1 - 2003
N2 - Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm using wavelet-based attribute vectors defined on every image voxel. The attribute vector reflects the anatomical characteristics in a large neighborhood around the respective voxel. It plays the role of a morphological signature for each voxel and is therefore made as distinctive as possible. Correspondence is then determined via similarity of attribute vectors. Experiments with brain MR images show that the algorithm performs at least as well as human experts, even for complex cortical structures.
AB - Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm using wavelet-based attribute vectors defined on every image voxel. The attribute vector reflects the anatomical characteristics in a large neighborhood around the respective voxel. It plays the role of a morphological signature for each voxel and is therefore made as distinctive as possible. Correspondence is then determined via similarity of attribute vectors. Experiments with brain MR images show that the algorithm performs at least as well as human experts, even for complex cortical structures.
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U2 - 10.1007/978-3-540-39903-2_93
DO - 10.1007/978-3-540-39903-2_93
M3 - Conference article
AN - SCOPUS:11244283200
VL - 2879
SP - 762
EP - 770
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SN - 0302-9743
IS - PART 2
T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings
Y2 - 15 November 2003 through 18 November 2003
ER -