TY - GEN
T1 - An improved fiber tracking method for crossing fibers
AU - Zheng, Ning
AU - Zhang, Wenyao
AU - Liu, Xiaofan
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Fiber tracking is a basic task in analyzing data obtained by diffusion tensor magnetic resonance imaging (DT-MRI). In order to get a better tracking result for crossing fibers with noise, an improved fiber tracking method is proposed in this paper. The method is based on the framework of Bayesian fiber tracking, but improves its ability to deal with crossing fibers, by introducing the high order tensor (HOT) model as well as a new fiber direction selection strategy. In this method, orientation distribution function is first obtained from HOT model, and then used as the likelihood probability to control fiber tracing. On this basis, the direction in candidates that has the smallest change relative to current two previous directions is selected as the next tracing direction. By this means, our method achieves better performance in processing crossing fibers.
AB - Fiber tracking is a basic task in analyzing data obtained by diffusion tensor magnetic resonance imaging (DT-MRI). In order to get a better tracking result for crossing fibers with noise, an improved fiber tracking method is proposed in this paper. The method is based on the framework of Bayesian fiber tracking, but improves its ability to deal with crossing fibers, by introducing the high order tensor (HOT) model as well as a new fiber direction selection strategy. In this method, orientation distribution function is first obtained from HOT model, and then used as the likelihood probability to control fiber tracing. On this basis, the direction in candidates that has the smallest change relative to current two previous directions is selected as the next tracing direction. By this means, our method achieves better performance in processing crossing fibers.
KW - Crossing fibers
KW - Diffusion tensor magnetic resonance imaging (DT-MRI)
KW - Fiber tracking
KW - High order tensor (HOT)
UR - http://www.scopus.com/inward/record.url?scp=84943630608&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-21978-3_48
DO - 10.1007/978-3-319-21978-3_48
M3 - Conference contribution
AN - SCOPUS:84943630608
SN - 9783319219776
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 552
EP - 561
BT - Image and Graphics - 8th International Conference, ICIG 2015, Proceedings
A2 - Zhang, Yu-Jin
PB - Springer Verlag
T2 - 8th International Conference on Image and Graphics, ICIG 2015
Y2 - 13 August 2015 through 16 August 2015
ER -