Meeting Banner
Abstract #2538

Image Reconstruction for Accelerated Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints

Sen Ma 1 , Xiaodong Ma 2 , and Hua Guo 2

1 Department of Electronic Engineering, Tsinghua University, Beijing, China, 2 Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

This paper proposes an effective joint reconstruction method to accelerate diffusion tensor imaging acquisition, combining the low-rank structure and sparsity constraints of the correlated diffusion-weighted images. We show that by jointly enforcing low-rank and sparsity constraints, we can achieve high reduction factor of diffusion tensor imaging acquisition while maintaining rather accurate reconstruction result.

This abstract and the presentation materials are available to members only; a login is required.

Join Here