Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration

Authors: Shen D.; Davatzikos C.

Source: NeuroImage, Volume 18, Number 1, January 2003 , pp. 28-41(14)

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Abstract:

This article presents a very high-resolution voxel-based morphometric method, by using a mass-preserving deformation mechanism and a fully automated spatial normalization approach, referred to as HAMMER. By using a hierarchical attribute-based deformation strategy, HAMMER partly overcomes limitations of several existing spatial normalization methods, and it achieves a level of accuracy that makes possible morphometric measurements of spatial specificity close to the voxel dimensions. The proposed method is validated by a series of experiments, with both simulated and real brain images. © 2002 Elsevier Science (USA)

Language: English

Document Type: Research article

DOI: http://dx.doi.org/10.1006/nimg.2002.1301

Affiliations: Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104

Publication date: 2003-01-01