Meeting Banner
Abstract #2261

Strategies for the Implementation of Compressed Sensing on Arterial Spin Labeled Data: A Retrospective Study

Stanislas Rapacchi1, Robert X. Smith2, Danny J.J. Wang2, Peng Hu1

1Radiology, UCLA, Los Angeles, CA, United States; 2Neurology, UCLA, Los Angeles, CA, United States

We propose to investigate the potential implementation of compressed sensing (CS) to accelerate ASL acquisitions by undersampling using two different strategies: 1) To under-sample each acquisition and apply CS individually then subtract the reconstructed images. 2) To undersample both acquisitions identically in order to perform the subtraction in the k-space domain. ASL data were acquired on the brain of one volunteer with fully sampled k-space then under-sampled retrospectively. CS reconstruction was compared to reference images. Separated CS reconstruction of the 2 acquisitions seems more appropriate for ASL although it prevents CS to benefit from the sparsity of images after subtraction.

Abstract PDF Poster PDF

Keywords

accelerate acceleration accuracy acquisition acquisitions advanced affecting amount appear application apply arterial arteries artifacts assessed averaging background balanced beneficial benefit benefits better beyond blood bottom brain cancellation capillaries compensate complex compressed conjugate consequence considered consists contrast correction define delineation demanding developments distributed domain done enable enables enhanced evaluation features frequencies full fully global gradient great greatly half hamper hide impacts implementation important independently individual individually influence inherent integrated intensity investigate labeled labeling long loss magnitude maintaining makes many mask material matrix measure minimization neurology noise norm optimized option pattern perfectly perfusion pixels potential prevents prior problem projection promising proper propose proposed prospectively radiology random randomly recent reconstructed reconstruction reduce reduced regards repetitions represented requirement resolution retrospective retrospectively rival sample sampled sampling saturation seems segments sensing separated situ slice smith space sparsity spin spins strategies strategy subtract subtracted subtraction suffers suited transform true twice unlabeled upstream usually variation vector volunteer wavelet yang