Authors
Jian Cheng, Dinggang Shen, Peter J Basser, Pew-Thian Yap
Publication date
2015/6/28
Book
Information Processing in Medical Imaging
Pages
782-793
Publisher
Springer International Publishing
Description
High Angular Resolution Diffusion Imaging (HARDI) avoids the Gaussian diffusion assumption that is inherent in Diffusion Tensor Imaging (DTI), and is capable of characterizing complex white matter micro-structure with greater precision. However, HARDI methods such as Diffusion Spectrum Imaging (DSI) typically require significantly more signal measurements than DTI, resulting in prohibitively long scanning times. One of the goals in HARDI research is therefore to improve estimation of quantities such as the Ensemble Average Propagator (EAP) and the Orientation Distribution Function (ODF) with a limited number of diffusion-weighted measurements. A popular approach to this problem, Compressed Sensing (CS), affords highly accurate signal reconstruction using significantly fewer (sub-Nyquist) data points than required traditionally. Existing approaches to CS diffusion MRI (CS-dMRI) mainly focus on applying CS in the -space of diffusion signal …
Total citations
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Scholar articles
J Cheng, D Shen, PJ Basser, PT Yap - International Conference on Information Processing in …, 2015