Low-rank plus sparse compressed sensing for accelerated proton resonance frequency shift MR temperature imaging.

ABSTRACT: PURPOSE:To improve multichannel compressed sensing (CS) reconstruction for MR proton resonance frequency (PRF) shift thermography, with application to MRI-induced RF heating evaluation and MR guided high intensity focused ultrasound (MRgFUS) temperature monitoring. METHODS:A new compressed sensing reconstruction is proposed that enforces joint low rank and sparsity of complex difference domain PRF data between post heating and baseline images. Validations were performed on 4 retrospectively undersampled dynamic data sets in PRF applications, by comparing the proposed method to a previously described L1 and total variation- (TV-) based CS approach that also operates on complex difference domain data, and to a conventional low rank plus sparse (L+S) separation-based CS reconstruction applied

SUBMITTER: Cao Z 

PROVIDER: S-EPMC6435412 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature