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Determining correspondence in 3-d MR brain images using attribute vectors as morphological signatures of voxels (2004)
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| Venue: | IEEE Transactions on Medical Imaging |
| Citations: | 21 - 10 self |
BibTeX
@ARTICLE{Xue04determiningcorrespondence,
author = {Zhong Xue and Dinggang Shen and Christos Davatzikos},
title = {Determining correspondence in 3-d MR brain images using attribute vectors as morphological signatures of voxels},
journal = {IEEE Transactions on Medical Imaging},
year = {2004},
pages = {1276--1291}
}
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Abstract
Abstract—Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm for intramodality MR brain images of different subjects using wavelet-based attribute vectors (WAVs) defined on every image voxel. The attribute vector (AV) is extracted from the wavelet subimages and reflects the image structure in a large neighborhood around the respective voxel in a multiscale fashion. It plays the role of a morphological signature for each voxel, and our goal is, therefore, to make it distinctive of the respective voxel. Correspondence is then determined from similarities of AVs. By incorporating the prior knowledge of the spatial relationship among voxels, the ability of the proposed algorithm to find anatomical correspondence is further improved. Experiments with MR images of human brains show that the algorithm performs similarly to experts, even for complex cortical structures. Index Terms—Computational anatomy, correspondence, deformable registration, image matching, wavelet transformations. I.
Keyphrases
attribute vector morphological signature 3-d mr brain image deformable registration respective voxel intramodality mr brain image shape analysis anatomical image mr image key step human brain complex cortical structure wavelet transformation wavelet subimages image voxel index term computational anatomy image matching anatomical correspondence large neighborhood prior knowledge wavelet-based attribute vector different subject spatial relationship multiscale fashion automatic correspondence detection algorithm image structure abstract finding point correspondence
