Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques

Autores UPV
Año
Revista IEEE Latin America Transactions

Abstract

The main parallel imaging techniques have been implemented under MATLAB (SENSE, PILS and SPACE-RIP for image domain, and SMASH and GRAPPA for k-space domain), evaluating its characteristics about image quality and signal to noise ratio. PILS and SMASH, with an specific coil configuration, provided the best results. SENSE and SPACE-RIP were more versatile with any coil configuration. All methods arrived to its acceleration factor theoretical limit (R=4 for 4 coils) with images without noise. Only those methods that depend on a matrix reconstruction inversion (SENSE and SPACE-RIP) did not arrive to the theoretical limit for noisy images due to its instability problems. PILS provided the best results although SENSE and SPACE-RIP can be applied under more general conditions. For the k-space domain methods, SMASH gave the best results under an specific coil array configuration © 2011 IEEE.