Lower Extremities Perfusion Imaging with Low-Rank Matrix Completion Reconstruction

Jieying Luo¹, Taehoon Shin¹, Tao Zhang¹, Bob S. Hu², Dwight G. Nishimura¹

An accurate measurement of lower extremities perfusion is potentially of significant help in the assessment of peripheral arterial disease. This work investigates and optimizes the use of low-rank matrix completion reconstruction for this application. As verified using both numerical simulations and retrospectively undersampled in-vivo data, reconstruction performance is improved by the use of reference images and a complementary uniformly random undersampling pattern. With this method, volumetric perfusion imaging of the lower extremities with temporal resolution of 2 seconds can be achieved.