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

Department of Brain and Cognitive Engineering

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
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

Access to Document

10.1109/ISBI.2002.1029368

Fingerprint Dive into the research topics of 'Statistically-based reorientation of diffusion tensor field'. Together they form a unique fingerprint.

Cite this

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 (pp. 757-760). [1029368] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2002-January). IEEE Computer Society. https://doi.org/10.1109/ISBI.2002.1029368

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

@inproceedings{d24b5faa7f904aa8b6ff7fb0a66b6d5b,

title = "Statistically-based reorientation of diffusion tensor field",

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.",

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

year = "2002",

doi = "10.1109/ISBI.2002.1029368",

language = "English",

series = "Proceedings - International Symposium on Biomedical Imaging",

publisher = "IEEE Computer Society",

pages = "757--760",

booktitle = "2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings",

note = "IEEE International Symposium on Biomedical Imaging, ISBI 2002 ; Conference date: 07-07-2002 Through 10-07-2002",

}

TY - GEN

T1 - Statistically-based reorientation of diffusion tensor field

AU - Xu, Dongrong

AU - Mori, Susumu

AU - Shen, Dinggang

AU - Davatzikos, Christos

PY - 2002

Y1 - 2002

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.

UR - http://www.scopus.com/inward/record.url?scp=0012357864&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0012357864&partnerID=8YFLogxK

U2 - 10.1109/ISBI.2002.1029368

DO - 10.1109/ISBI.2002.1029368

M3 - Conference contribution

AN - SCOPUS:0012357864

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 757

EP - 760

BT - 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings

PB - IEEE Computer Society

T2 - IEEE International Symposium on Biomedical Imaging, ISBI 2002

Y2 - 7 July 2002 through 10 July 2002

ER -