Reconstruction of simultaneous partial Echo acquisition for MR angiography and venography (MRAV) using a SFA model

Abstract

Simultaneous acquisition of magnetic resonance angiography and venography (MRAV) technique provides extra magnetic resonance venography (MRV) images without increasing traditional k-space data acquisition time for magnetic resonance angiography (MRA). Partial echo is used to shorten echo time (TE) to reduce high-order flow artifacts for MRA, and maximize TE to obtain maximal venous contrast for MRV. Partial echo results in truncated k-space for both MRA and MRV data. In this study, we investigate the feasibility of recovering unacquired partial k-space MRAV data based on a singularity function analysis (SFA) model, which uses singularity functions to represent a sparse difference image. Retrospective study was applied on MRAV data acquired with a 3D spoiled gradient-recalled dual-echo (SPGR) pulse sequence. It was found that SFA model can achieve reasonably high quality using only a small fraction of k-space coverage compare with zero filling reconstruction.