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

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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.

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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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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

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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