TY - GEN
T1 - Director field analysis to explore local white matter geometric structure in diffusion MRI
AU - Cheng, Jian
AU - Basser, Peter J.
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - In diffusion MRI, a tensor field or a spherical function field, e.g., an Orientation Distribution Function (ODF) field, are estimated from measured diffusion weighted images. In this paper, inspired by microscopic theoretical treatment of phases in liquid crystals, we introduce a novel mathematical framework, called Director Field Analysis (DFA), to study local geometric structural information of white matter from the estimated tensor field or spherical function field. (1)We propose Orientational Order (OO) and Orientational Dispersion (OD) indices to describe the degree of alignment and dispersion of a spherical function in each voxel; (2) We estimate a local orthogonal coordinate frame in each voxel with anisotropic diffusion; (3) Finally, we define three indices to describe three types of orientational distortion (splay, bend, and twist) in a local spatial neighborhood, and a total distortion index to describe distortions of all three types. To our knowledge, this is the first work to quantitatively describe orientational distortion (splay, bend, and twist) in diffusion MRI. The proposed scalar indices are useful to detect local geometric changes of white matter for voxel-based or tract-based analysis in both DTI and HARDI acquisitions.
AB - In diffusion MRI, a tensor field or a spherical function field, e.g., an Orientation Distribution Function (ODF) field, are estimated from measured diffusion weighted images. In this paper, inspired by microscopic theoretical treatment of phases in liquid crystals, we introduce a novel mathematical framework, called Director Field Analysis (DFA), to study local geometric structural information of white matter from the estimated tensor field or spherical function field. (1)We propose Orientational Order (OO) and Orientational Dispersion (OD) indices to describe the degree of alignment and dispersion of a spherical function in each voxel; (2) We estimate a local orthogonal coordinate frame in each voxel with anisotropic diffusion; (3) Finally, we define three indices to describe three types of orientational distortion (splay, bend, and twist) in a local spatial neighborhood, and a total distortion index to describe distortions of all three types. To our knowledge, this is the first work to quantitatively describe orientational distortion (splay, bend, and twist) in diffusion MRI. The proposed scalar indices are useful to detect local geometric changes of white matter for voxel-based or tract-based analysis in both DTI and HARDI acquisitions.
UR - https://www.scopus.com/pages/publications/85020549825
U2 - 10.1007/978-3-319-59050-9_34
DO - 10.1007/978-3-319-59050-9_34
M3 - 会议稿件
AN - SCOPUS:85020549825
SN - 9783319590493
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 427
EP - 439
BT - Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings
A2 - Zhu, Hongtu
A2 - Niethammer, Marc
A2 - Styner, Martin
A2 - Zhu, Hongtu
A2 - Shen, Dinggang
A2 - Yap, Pew-Thian
A2 - Aylward, Stephen
A2 - Oguz, Ipek
PB - Springer Verlag
T2 - 25th International Conference on Information Processing in Medical Imaging, IPMI 2017
Y2 - 25 June 2017 through 30 June 2017
ER -