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 | Proceedings - International Symposium on Biomedical Imaging |
| Publisher | IEEE Computer Society |
| Pages | 757-760 |
| Number of pages | 4 |
| Volume | 2002-January |
| ISBN (Print) | 078037584X |
| DOIs | |
| 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 |
Other
| Other | IEEE International Symposium on Biomedical Imaging, ISBI 2002 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 02/7/7 → 02/7/10 |
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ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Statistically-based reorientation of diffusion tensor field. / Xu, Dongrong; Mori, Susumu; Shen, Dinggang; Davatzikos, Christos.
Proceedings - International Symposium on Biomedical Imaging. Vol. 2002-January IEEE Computer Society, 2002. p. 757-760 1029368.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
SN - 078037584X
VL - 2002-January
SP - 757
EP - 760
BT - Proceedings - International Symposium on Biomedical Imaging
PB - IEEE Computer Society
ER -