Pseudo-Random Center Placement O-Space Imaging: Optimizing Incoherence for Compressed Sensing

Keywords

acceleration acquisition affected aliasing allow amplitude another applying array artifacts audience available background behave best better biomedical built channel coefficients coil comes communities complementary compressed convex coordinates corroborates coverage created custom denotes diagnostic dissipate domain efficiency efficiently eight encoding enforcing equations evenly evidence examined experimental fast feature fellowship finger forward function gains general generates gradient gradients graduate greatest haven highest improved in vivo incoherence incoherent increasing infer initial insert isolated iterated iterative iteratively known length like linear local mathematically matrix maximize nature necessary neurosurgery noise norm objective optimization optimized orientations parallel patterns peak peter peters placed placement placements predictions preliminary produce projection promoting proposes pseudo pulse radial radiology random randomized receive receiver reconstruction reconstructions relating relies representative represents requires retaining sample sampling scales sense sensing sensitivity several similarly simulations solution space sparse sparsity spatial spatially spread squared straight strategy strength suitability supported system tailored target traditional transform transmit uniform utilizes varying wavelet whereas