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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching
verfasst von : Peihong Zhu, Suyash P. Awate, Samuel Gerber, Ross Whitaker
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
Verlag: Springer Berlin Heidelberg
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This paper presents a fast method for quantifying shape differences/similarities between pairs of magnetic resonance (MR) brain images. Most shape comparisons in the literature require some kind of deformable registration or identification of exact correspondences. The proposed approach relies on an optimal matching of a large collection of features, using a very fast, hierarchical method from the literature, called
spatial pyramid matching
(SPM). This paper shows that edge-based image features in combination with SPM results in a fast similarity measure that captures relevant anatomical information in brain MRI. We present extensive comparisons against known methods for shape-based,
k
-nearest-neighbor lookup to evaluate the performance of the proposed method. Finally, we show that the method compares favorably with more computation-intensive methods in the construction of local atlases for use in brain MR image segmentation.