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Medicine and Health Sciences

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University of Texas Rio Grande Valley

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Compressed Sensing

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Full-Text Articles in Engineering

Self-Learned Kernel Low Rank Approach To Accelerated High Resolution 3d Diffusion Mri, Abhijit Baul, Nian Wang, Choyi Zhang, Yuchou Chang, Leslie Ying, Yuchou Chang, Ukash Nakarmi Nov 2021

Self-Learned Kernel Low Rank Approach To Accelerated High Resolution 3d Diffusion Mri, Abhijit Baul, Nian Wang, Choyi Zhang, Yuchou Chang, Leslie Ying, Yuchou Chang, Ukash Nakarmi

Electrical and Computer Engineering Faculty Publications and Presentations

Diffusion Magnetic Resonance Imaging (dMRI) is a promising method to analyze the subtle changes in the tissue structure. However, the lengthy acquisition time is a major limitation in the clinical application of dMRI. Different image acquisition techniques such as parallel imaging, compressed sensing, has shortened the prolonged acquisition time but creating high-resolution 3D dMRI slices still requires a significant amount of time. In this study, we have shown that high resolution 3D dMRI can be reconstructed from the highly undersampled k-space and q-space data using a Kernel Low Rank method. Our proposed method has outperformed the conventional CS methods in …