Premium
Technical Note: Clustering‐based motion compensation scheme for multishot diffusion tensor imaging
Author(s) -
Xu Zhongbiao,
Huang Feng,
Wu Zhigang,
Mei Yingjie,
Jeong Hakyu,
Fang Wenxing,
Chen Zhifeng,
Wang Yishi,
Dong Zijing,
Guo Hua,
Zhang Xinyuan,
Chen Wufan,
Feng Qianjin,
Feng Yanqiu
Publication year - 2018
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.13232
Subject(s) - diffusion mri , computer vision , artificial intelligence , computer science , voxel , cluster analysis , motion compensation , diffusion , motion field , motion (physics) , motion blur , image (mathematics) , physics , magnetic resonance imaging , medicine , radiology , thermodynamics
Purpose To extend image reconstruction using image‐space sampling function ( IRIS ) to address large‐scale motion in multishot diffusion‐weighted imaging ( DWI ). Methods A clustered IRIS ( CIRIS ) algorithm that would extend IRIS was proposed to correct for large‐scale motion. For DWI , CIRIS initially groups the shots into clusters without intracluster large‐scale motion and reconstructs each cluster by using IRIS . Then, CIRIS registers these cluster images and combines the registered images by using a weighted average to correct for voxel mismatch caused by intercluster large‐scale motion. For diffusion tensor imaging ( DTI ), CIRIS further reduces the effect of motion on diffusion directions by treating motion‐induced direction changes as additional diffusion directions. CIRIS also introduces the detection and rejection of motion‐corrupted data to avoid corresponding image degradation. The proposed method was evaluated by simulation and in vivo diffusion datasets. Results Experiments demonstrated that CIRIS can reduce motion‐induced blurring and artifacts in DWI and provide more accurate DTI estimations in the presence of large‐scale motion, compared with IRIS . Conclusion The proposed method presents a novel approach to correct for large‐scale in‐plane motion for multishot DWI and is expected to benefit the practical application of high‐resolution diffusion imaging.