Affiliation of Author(s):航天学院

Journal:MULTIMEDIA TOOLS AND APPLICATIONS

Key Words:compressed sensing magnetic resonance imaging iterative shrinkage/threshold algorithm exponential wavelet transform

Abstract:Compressed sensing can reconstruct the undersampled image. The combination of compressed sensing and magnetic resonance imaging is a potential future fast imaging method in hospitals. This study investigated five state-of-the-art reconstruction approaches: iterative shrinkage/threshold algorithm (ISTA), fast ISTA, subband-adaptive ISTA, exponential wavelet transform ISTA, and exponential wavelet ISTA with random search (EWISTARS). The simulation results compared the five algorithms over hand image and shoulder image. Finally, we can observe the EWISTARS obtains the best result.

ISSN No.:1380-7501

Translation or Not:no

Date of Publication:2018-09-01

Correspondence Author:Kong Fan Qiang