Task distribution methods for the reconstruction of MR images

Abstract

The raw data of MRI consists of series of complex numbers that represent phases and amplitudes of signals. The reconstruction procedure of the MRI requires lengthy computational time and sequence of images due to the heavy discrete Fourier transformation. Four different parallel algorithms, the Round-Robin distribution, demand distribution, minimal load distribution, and variable distribution methods were developed to handle the lengthy reconstruction process for the clustered network and analyzed. The performance of four methods were found to be similar in the current investigation.