Statistically-based reorientation of diffusion tensor field

Dongrong Xu; Susumu Mori; Dinggang Shen; Christos Davatzikos

doi:10.1109/ISBI.2002.1029368

Statistically-based reorientation of diffusion tensor field

Dongrong Xu, Susumu Mori, Dinggang Shen, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
Publisher	IEEE Computer Society
Pages	757-760
Number of pages	4
ISBN (Electronic)	078037584X
DOIs	https://doi.org/10.1109/ISBI.2002.1029368
Publication status	Published - 2002
Externally published	Yes
Event	IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States Duration: 2002 Jul 7 → 2002 Jul 10

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2002-January
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	IEEE International Symposium on Biomedical Imaging, ISBI 2002
Country	United States
City	Washington
Period	02/7/7 → 02/7/10

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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Statistically-based reorientation of diffusion tensor field. / Xu, Dongrong; Mori, Susumu; Shen, Dinggang; Davatzikos, Christos.

2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings. IEEE Computer Society, 2002. p. 757-760 1029368 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2002-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Xu, D, Mori, S, Shen, D & Davatzikos, C 2002, Statistically-based reorientation of diffusion tensor field. in 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings., 1029368, Proceedings - International Symposium on Biomedical Imaging, vol. 2002-January, IEEE Computer Society, pp. 757-760, IEEE International Symposium on Biomedical Imaging, ISBI 2002, Washington, United States, 02/7/7. https://doi.org/10.1109/ISBI.2002.1029368

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author = "Dongrong Xu and Susumu Mori and Dinggang Shen and Christos Davatzikos",

year = "2002",

doi = "10.1109/ISBI.2002.1029368",

language = "English",

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N2 - 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.

AB - 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.

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ER -

Statistically-based reorientation of diffusion tensor field

Abstract

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