TY - JOUR
T1 - Angular resolution enhancement technique for diffusion-weighted imaging (DWI) using predicted diffusion gradient directions
AU - Lee, Mun Bae
AU - Kim, Yeon Hyang
AU - Jahng, Geon Ho
AU - Kwon, Oh In
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea grants funded by the Korean government(MEST) (No. 2016R1A2B4014534 , 2017R1D1A1B03028754 ) and the Korean Health Technology R&D Project , Ministry of Health and Welfare, Republic of Korea ( HI17C0984 ).
Publisher Copyright:
© 2018
PY - 2018/12
Y1 - 2018/12
N2 - Anisotropic diffusion MRI techniques using single-shell or multi-shell acquisitions have been proposed as a means to overcome some limitations imposed by diffusion tensor imaging (DTI), especially in complex models of fibre orientation distribution in voxels. A long acquisition time for the angular resolution of diffusion MRI is a major obstacle to practical clinical implementations. In this paper, we propose a novel method to improve angular resolution of diffusion MRI acquisition using given diffusion gradient (DG) directions. First, we define a local diffusion pattern map of diffusion MR signals on a single shell in given DG directions. Using the local diffusion pattern map, we design a prediction scheme to determine the best DG direction to be synthesized within a nearest neighborhood DG directions group. Second, the local diffusion pattern map and the spherical distance on the shell are combined to determine a synthesized diffusion signal in the new DG direction. Using the synthesized and measured diffusion signals on a single sphere, we estimate a spin orientation distribution function (SDF) with human brain data. Although the proposed method is applied to SDF, a basic idea is to increase the angular resolution using the measured diffusion signals in various DG directions. The method can be applicable to different acquired multi-shell data or diffusion spectroscopic imaging (DSI) data. We validate the proposed method by comparing the recovered SDFs using the angular resolution enhanced diffusion signals with the recovered SDF using the measured diffusion data. The developed method provides an enhanced SDF resolution and improved multiple fiber structure by incorporating synthesized signals. The proposed method was also applied neurite orientation dispersion and density imaging (NODDI) using multi-shell acquisitions.
AB - Anisotropic diffusion MRI techniques using single-shell or multi-shell acquisitions have been proposed as a means to overcome some limitations imposed by diffusion tensor imaging (DTI), especially in complex models of fibre orientation distribution in voxels. A long acquisition time for the angular resolution of diffusion MRI is a major obstacle to practical clinical implementations. In this paper, we propose a novel method to improve angular resolution of diffusion MRI acquisition using given diffusion gradient (DG) directions. First, we define a local diffusion pattern map of diffusion MR signals on a single shell in given DG directions. Using the local diffusion pattern map, we design a prediction scheme to determine the best DG direction to be synthesized within a nearest neighborhood DG directions group. Second, the local diffusion pattern map and the spherical distance on the shell are combined to determine a synthesized diffusion signal in the new DG direction. Using the synthesized and measured diffusion signals on a single sphere, we estimate a spin orientation distribution function (SDF) with human brain data. Although the proposed method is applied to SDF, a basic idea is to increase the angular resolution using the measured diffusion signals in various DG directions. The method can be applicable to different acquired multi-shell data or diffusion spectroscopic imaging (DSI) data. We validate the proposed method by comparing the recovered SDFs using the angular resolution enhanced diffusion signals with the recovered SDF using the measured diffusion data. The developed method provides an enhanced SDF resolution and improved multiple fiber structure by incorporating synthesized signals. The proposed method was also applied neurite orientation dispersion and density imaging (NODDI) using multi-shell acquisitions.
KW - Angular resolution enhanced diffusion imaging
KW - Diffusion MRI
KW - Local diffusion pattern map
KW - Multi-shell acquisition
KW - Spin orientation distribution function
UR - http://www.scopus.com/inward/record.url?scp=85053033893&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2018.08.072
DO - 10.1016/j.neuroimage.2018.08.072
M3 - Article
C2 - 30193975
AN - SCOPUS:85053033893
VL - 183
SP - 836
EP - 846
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
ER -