TY - JOUR
T1 - Advance in diffusion tensor image registration and its evaluation
AU - Wang, Yi
AU - Zeng, Wenxuan
AU - Yu, Liangliang
AU - Lei, Tao
AU - Guo, Zhe
AU - Qi, Min
AU - Fan, Yangyu
AU - Niu, Yilong
N1 - Publisher Copyright:
© Copyright 2016 American Scientific Publishers. All rights reserved.
PY - 2016/4
Y1 - 2016/4
N2 - With the extensive application of diffusion tensor imaging (DTI) in neuroscience, DTI registration has become one of the hottest topics in image processing and analysis. Meanwhile, DTI registration has generated considerable interests and been studied more generally. In this paper, we reviewed three categories of DTI registration methods that are classified on the basis of the processing data, including the scalar image based registration algorithms, the tensor image based registration algorithms and the fiber bundle based registration algorithms. Since there is no unified standard framework for registration evaluation, we also retrospect several evaluation methods, including visual assessment, fiber based evaluation and region based evaluation criteria proposed in recent years. We also mentioned some other common image registration evaluations briefly. In the end, we summarized and analyzed the characteristics of different registration methods. In addition, we prospected the development of DTI registration in the future.
AB - With the extensive application of diffusion tensor imaging (DTI) in neuroscience, DTI registration has become one of the hottest topics in image processing and analysis. Meanwhile, DTI registration has generated considerable interests and been studied more generally. In this paper, we reviewed three categories of DTI registration methods that are classified on the basis of the processing data, including the scalar image based registration algorithms, the tensor image based registration algorithms and the fiber bundle based registration algorithms. Since there is no unified standard framework for registration evaluation, we also retrospect several evaluation methods, including visual assessment, fiber based evaluation and region based evaluation criteria proposed in recent years. We also mentioned some other common image registration evaluations briefly. In the end, we summarized and analyzed the characteristics of different registration methods. In addition, we prospected the development of DTI registration in the future.
KW - Diffusion Tensor Imaging
KW - Evaluation
KW - Registration
UR - http://www.scopus.com/inward/record.url?scp=84963525917&partnerID=8YFLogxK
U2 - 10.1166/jmihi.2016.1718
DO - 10.1166/jmihi.2016.1718
M3 - 文章
AN - SCOPUS:84963525917
SN - 2156-7018
VL - 6
SP - 562
EP - 570
JO - Journal of Medical Imaging and Health Informatics
JF - Journal of Medical Imaging and Health Informatics
IS - 2
ER -