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Ahmad Sulaiman Abdullah
University of Diyala
Electrical & Electronics Engineering

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Nearest-neighbor field algorithm based on patchMatch for myocardial perfusion motion estimation/correction Haider Ali Jasim Alshamary; Ahmad Sulaiman Abdullah; Sadeq Adnan Hbeeb
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4216

Abstract

Deformation correction and recovery of dynamic magnetic resonance images (DMRI) with low complexity algorithms without compromising image quality is a challenging problem. We proposed a motion estimation deformation-correction compressive sensing (DC-CS) scheme to recover dynamic images from its undersampled measurements. We simplify the complex optimization problem into three sub-problems. The contributions of this research are: introducing a global search strategy instead of the DC registration step, guaranteeing a non-explicit motion estimation that avoids any spatial alignment or registration of the images, and lowering the computational cost to the minimum by using PatchMatch (PM). The simulation result shows that the PM algorithm accelerates the recovery time without losing the quality in comparison with the DC algorithm.
Co-Authors Haider Ali Jasim Alshamary Sadeq Adnan Hbeeb