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Abstract #3735

An Efficient De-Convolution Reconstruction Method for Spatiotemporally-Encoded Single-Scan 2D MRI

Congbo Cai1, Jiyang Dong1, Shuhui Cai1, Jing Li1, Lin Chen1, Zhong Chen2

1Department of Communication Engineer and Electronic Science, Xiamen university, Xiamen, Fujian, China; 2Department of Communication Engineer and Electronic Science, Xiamen University, Xiamen, Fujian, China

Spatiotemporally-encoded single-scan MRI method is relatively insensitive to field inhomogeneity compared to EPI method. Conjugate gradient (CG) method has been used to reconstruct super-resolved images from the original blurred ones. In this article, a new de-convolution reconstruction method is proposed. Through removing the quadratic phase modulation from the signal acquired with spatiotemporally-encoded MRI, the signal can be described as a convolution of desired super-resolved image and a point spread function. The de-convolution method proposed herein not only is simpler and more efficient than the CG method, but also provides super-resolved images with better quality.