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High-Resolution Imaging Using Keyhole-Based Compressed Sensing Averaging (CSAK) Technique

Journal of Magnetics, Volume 25, Number 2, 30 Jun 2020, Pages 164-171
Kyung-Jin Lee (Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology), Chan-A Park (Biomedical Engineering Research Center, Gachon University), Dae-hun Kang (Department of Radiology, Mayo Clinic), Young-Don Son (Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology), Hang-Keun Kim (Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology), Yeong-Bae Lee (Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology), Chang-Ki Kang * (Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology)
Abstract
This study is to propose a magnetic resonance (MR) imaging technique, called as CSAK (compressed sensing
averaging combined with a keyhole), and prove its possibility through in vivo experiment for high-resolution
and fast imaging. For CSA, undersampling ratios of 25 %, 35 %, and 45 % were compared with a full k-space.
Each undersampling ratio was composed of three subsets. High resolution CSAK images from the phantom
and human subjects showed the increased signal-to-noise ratio (SNR) and depicted the anatomical structures
more clearly. In addition, images with a 25 % undersampling ratio showed the highest SNR and reduced acquisition
time by approximately 30 % relative to that of a full image. This study suggests that the proposed undersampling
method for images with higher spatial and/or temporal resolution could yield better results in medical
applications. Therefore, the CS-averaging technique could solve the limitations of acquiring much higher resolution
images in clinical 3T MR imaging.
Keywords: fast magnetic resonance imaging; compressed sensing MRI; CS averaging; keyhole technique; SNR
DOI: https://doi.org/10.4283/JMAG.2020.25.2.164
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