Image quality parameters in MR images, reconstructed by using compressed sensing
نویسندگان
چکیده
Introduction: Compressed sensing is a technique that allows accelerating data acquisition in the presence of sparse or compressible signals ([5], [6], [7]). Especially, in magnetic resonance imaging, where measurements may be time consuming, compressed sensing might give a chance to reduce the scan time. However, up to now there are no studies that examine basic imaging parameters like image noise and spatial resolution for compressed sensing. Therefore, aim of this study was to introduce methods to determine image quality parameters suitable for compressed sensing reconstruction and to evaluate the application of these methods in compressed sensing of cardiac CINE imaging.
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