Statistically-based reorientation of diffusion tensor field

Dongrong Xu, Susumu Mori, Dinggang Shen, Christos Davatzikos

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

6 Citations (Scopus)

Abstract

This paper presents a new method for warping of diffusion tensor fields. The proper reorientation of a tensor field requires knowledge of the underlying fiber orientation, which is not known a priori. Accordingly, a probabilistic representation of the fiber direction is adopted and used in a Procrustean estimation of the rotational component of the warping field. The estimated rotational component, along with the warping field, are then used to warp and properly reorient a tensor field. Results from diffusion tensor MR images demonstrate a dramatic improvement of signal to noise ratio after statistical averaging of properly registered tensor fields across 9 individuals.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages757-760
Number of pages4
Volume2002-January
ISBN (Print)078037584X
DOIs
Publication statusPublished - 2002
Externally publishedYes
EventIEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States
Duration: 2002 Jul 72002 Jul 10

Other

OtherIEEE International Symposium on Biomedical Imaging, ISBI 2002
CountryUnited States
CityWashington
Period02/7/702/7/10

    Fingerprint

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Xu, D., Mori, S., Shen, D., & Davatzikos, C. (2002). Statistically-based reorientation of diffusion tensor field. In Proceedings - International Symposium on Biomedical Imaging (Vol. 2002-January, pp. 757-760). [1029368] IEEE Computer Society. https://doi.org/10.1109/ISBI.2002.1029368