TY - GEN
T1 - Recovering missing diffusion signal data for reconstructing fiber orientations
AU - Sun, Changyu
AU - Qin, Xiansheng
AU - Wang, Lihui
AU - Zhu, Yuemin
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Q-ball imaging (QBI) is a recent high angular resolution diffusion imaging technique for studying the orientation of fibers in the brain or heart, but it requires a high number of acquisitions, thus considerably lengthening acquisition time. Reducing diffusion data to be acquired while achieving the same fiber orientation reconstruction quality is then of fundamental importance. In this paper, we propose a new method of fiber orientation reconstruction from much less data acquisitions. The method is based on recovering missing diffusion data. It consists in imposing constraints both in q-space and in spatial space, applying data consistent principle in q-space, and iterating the process until no change is observed in the reconstructed orientation distribution function (ODF). The results show that using diffusion data in 12 directions, the reconstructed ODFs are rather close to those obtained with 42 diffusion directions, which allows shortening considerably acquisition time.
AB - Q-ball imaging (QBI) is a recent high angular resolution diffusion imaging technique for studying the orientation of fibers in the brain or heart, but it requires a high number of acquisitions, thus considerably lengthening acquisition time. Reducing diffusion data to be acquired while achieving the same fiber orientation reconstruction quality is then of fundamental importance. In this paper, we propose a new method of fiber orientation reconstruction from much less data acquisitions. The method is based on recovering missing diffusion data. It consists in imposing constraints both in q-space and in spatial space, applying data consistent principle in q-space, and iterating the process until no change is observed in the reconstructed orientation distribution function (ODF). The results show that using diffusion data in 12 directions, the reconstructed ODFs are rather close to those obtained with 42 diffusion directions, which allows shortening considerably acquisition time.
KW - Q-ball imaging
KW - fiber crossing
KW - interpolation
KW - missing data
KW - orientation distribution function
UR - http://www.scopus.com/inward/record.url?scp=84862910706&partnerID=8YFLogxK
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U2 - 10.1109/CISP.2011.6099994
DO - 10.1109/CISP.2011.6099994
M3 - Conference contribution
AN - SCOPUS:84862910706
SN - 9781424493067
T3 - Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011
SP - 233
EP - 237
BT - Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011
T2 - 4th International Congress on Image and Signal Processing, CISP 2011
Y2 - 15 October 2011 through 17 October 2011
ER -