Titlebook: Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms; A Convex Optimizatio Bhabesh Deka,Sumit Datta Book 2019 Springer Nat

激怒

Introduction to Compressed Sensing Magnetic Resonance Imaging,ce. A few practical implementations of compressed sensing in clinical MRI demonstrate that they are able to significantly reduce the imaging time of traditional MRI. This is a very significant development in the field of medical imaging as it would improve both the patient care and the healthcare economy.

粗糙滥制

Book 2019image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based r

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G-spot

Aura231

Book 2010 techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorit

敬礼

BAIT

Quantitative Myokardszintigraphie bei Koronaroperationen978-3-642-69727-2

Scintigraphy

Design for Manufacturability and Statistical Design978-0-387-69011-7Series ISSN 1558-9412 Series E-ISSN 1558-9420