Abstract

Info

Title:: Compressed sensing diffusion tensor imaging based on reference image

Author(s):: LIU Liangyou1; 2; LI Zhaotong1; 2; ZHANG Zeru1; 2; XIA Yifan1; 2; GAO Song1; 1. Institute of Medical Technology, Peking University, Beijing 100191, China 2. School of Health Humanities, Peking University, Beijing 100191, China

Keywords:: Keywords: diffusion tensor imaging high angular resolution diffusion imaging reference image compressed sensing

Abstract:: Abstract: A method of compressed sensing diffusion tensor imaging based on reference image which utilizes the small differences between diffusion-weighted images in adjacent directions and compressed sensing theory to realize fast diffusion tensor imaging is proposed in the study, and diffusion tensor image data are retrospectively selected for experimental research. Compressed sensing diffusion tensor image reconstruction is performed based on reference image under a uniformly distributed radiation under-sampling method with a sampling rate of 50%. The results show that the mean structural similarity and peak signal-noise ratio of the reconstructed diffusion-weighted images are 0.904±0.044 and (37.92±3.89) dB, respectively, and those of fractional anisotropy images are 0.992 and 41.64 dB, respectively. Under the premise of ensuring the quality of the reconstructed image, using the proposed method can significantly shorten data acquisition time and reduce image artifacts caused by long imaging time.