Compressed Sensing for High-Spatiotemporal Functional Magnetic Resonance Imaging and Its Application of Exploiting Sparsity for Image Denoising

نویسنده

  • Nguyen Van Le
چکیده

In this project, we apply compressed sensing (CS) technique to achieve high-spatiotemporal functional magnetic resonance imaging (MRI), which is very challenging with conventional approaches due to physical limitations such as slew rate. We also use its ideas of exploiting sparsity for image denoising. Keywords—compressed sensing; MRI; sparsity; image denoising

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تاریخ انتشار 2013