Bulletin of Electrical Engineering and Informatics
Vol 9, No 4: August 2020

Multi-wavelet level comparison on compressive sensing for MRI image reconstruction

Indrarini Dyah Irawati (Telkom University)
Sugondo Hadiyoso (Telkom University)
Yuli Sun Hariyani (Telkom University)

Article Info

Publish Date
01 Aug 2020

Abstract

In this study, weproposed compressive sampling for MRI reconstruction based on sparse representation using multi-wavelet transformation. Comparing the performance of wavelet decomposition level, which are level 1, level 2, level 3, and level 4. We used gaussian random process to generate measurement matrix. The algorithm used to reconstruct the image is l_1 norm. The experimental results showed that the use of wavelet multi-level can generate higher compression ratio but requires a longer processing time. MRI reconstruction results based on the parameters of the peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) show that the higher the level of decomposition in wavelets, the value of both decreases.

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Journal Info
Bulletin of Electrical Engineering and Informatics
Website

Abbrev

EEI

Publisher

Universitas Ahmad Dahlan

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...