Molecular Imaging in Nano MRI

Inbunden, Engelska, 2014

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Beskrivning

The authors describe a technique that can visualize the atomic structure of molecules, it is necessary, in terms of the image processing, to consider the reconstruction of sparse images. Many works have leveraged the assumption of sparsity in order to achieve an improved performance that would not otherwise be possible. For nano MRI, the assumption of sparsity is given by default since, at the atomic scale, molecules aresparse structures. This work reviews the latest results on molecular imaging for nano MRI. Sparse image reconstruction methods can be categorized as either non-Bayesian or Bayesian. A comparison of the performance and complexity of several such algorithms is given.

Produktinformation

Utgivningsdatum:2014-01-28
Mått:161 x 239 x 15 mm
Vikt:308 g
Format:Inbunden
Språk:Engelska
Antal sidor:96
Förlag:ISTE Ltd and John Wiley & Sons Inc
ISBN:9781848214743

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Mer om författaren

Michael Ting is currently a software engineer at Criteo in Paris, France, having received a PhD in Electrical Engineering: Systems, from the University of Michigan, USA, in 2006. His doctoral work focused on signal processing for MRFM. He is a Senior Member of the IEEE and is a co-author of a US patent. His research interests include detection and estimation theory, inverse problems, system identification, and time series analysis.

Innehållsförteckning

Introduction ixChapter 1. Nano MRI 1Chapter 2. Sparse Image Reconstruction 7Chapter 3. Iterative Thresholding Methods 15Chapter 4. Hyperparameter Selection Using the SURE Criterion 43Chapter 5. Monte Carlo Approach: Gibbs Sampling 53Chapter 6. Simulation Study 65Bibliography 73Index 77