title: An efficient de-convolution reconstruction method for spatiotemporal-encoding single-scan 2D MRI.
abstract: Spatiotemporal-encoding 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 based on coarse magnitude-calculation. In this article, a new de-convolution reconstruction method is proposed. Through removing the quadratic phase modulation from the signal acquired with spatiotemporal-encoding 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 than the CG method, but also provides super-resolved images with better quality. This new reconstruction method may make the spatiotemporal-encoding 2D MRI technique more valuable for clinic applications.
authors: Department of Communication Engineering, State Key Laboratory for Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen 361005, China.
authors: Congbo
authors: C
authors: Cai
authors: Jiyang
authors: J
authors: Dong
authors: Shuhui
authors: S
authors: Cai
authors: Jing
authors: J
authors: Li
authors: Ying
authors: Y
authors: Chen
authors: Lijun
authors: L
authors: Bao
authors: Zhong
authors: Z
authors: Chen
mesh_terms: D000818:Animals; D016477:Artifacts; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D051381:Rats; D059629:Signal-To-Noise Ratio