MRI IMAGE RECONSTRUCTION VIA NEW K-SPACE SAMPLING SCHEME BASED ON SEPARABLE TRANSFORM

Reducing the time required for MRI, has taken a lot ofattention since its inventions. Compressed sensing (CS) isa relatively new method used a lot to reduce the requiredtime. Usage of ordinary compressed sensing in MRI imagingneeds conversion of 2D MRI signal (image) to 1D signalby some techniques. This conversion of the signal from 2Dto 1D results in heavy computational burden. In this paper,based on separable transforms, a method is proposed whichenables the usage of CS in MRI directly in 2D case. Bymeans of this method, imaging can be done faster and withless computational burden.

کلیدواژه ها:

Magnetic Resonance Imaging(MRI) Sparsity ، 2D-Compressed Sensing ، Wavelet Transform ، 2D- SL0 Algorithm. ،