Correspondence detection in diffusion tensor images

Christos Davatzikos, Feby Abraham, George Biros, Ragini Verma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a kernel-based method of correspondence detection in diffusion tensor images (DTI), a key step towards their deformable registration. The proposed method is driven by a few focus points chosen in white matter, characterized by a unique morphological signature which incorporates the anisotropy, orientation and the anatomic context by using "oriented" Gabor filters and several candidate matches for each focal point, defined using tensorial similarity of these orientation specific signatures. The final focal point correspondences are defined via minimization of a function that seeks to satisfy three criteria : sparsity, which enforces unique correspondence, tensorial similarity of Gabor features, and smoothness, and are obtained by solving a constrained non-linear optimization problem with inequality bound constraints, using an optimization solver that employs primal-dual interior point algorithms and which ensures global convergence. The solution of the optimization problem produces the best correspondences for the focal points and uses these correspondences to obtain the optimal kernelized interpolation parameters for non-focal points. Experimental results on human brain data in which datasets with tumor are matched with normal brains, demonstrates the ability of the method in determining very good correspondences in the white matter, and its applicability to datasets with large mass effect as in tumors.

Original languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages646-649
Number of pages4
StatePublished - Nov 17 2006
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period4/6/064/9/06

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Correspondence detection in diffusion tensor images'. Together they form a unique fingerprint.

Cite this