Molecular Imaging in Nano MRI /

• Κύριος συγγραφέας: Ting, Michael (Software engineer)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London, U.K. : ISTE ; 2014.; Hoboken, N.J. : Wiley, 2014.
• Σειρά: Focus nanoscience and nanotechnology series.
• Θέματα: Magnetic resonance imaging > Computer programs.; Nanoscience.; Nuclear magnetic resonance > Computer programs.; TECHNOLOGY & ENGINEERING > Engineering (General); TECHNOLOGY & ENGINEERING > Reference.; Electronic books.

 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-B. 

 Cover; Title page; Contents; Introduction; Chapter 1. Nano MRI; Chapter 2. Sparse Image Reconstruction; 2.1. Introduction; 2.2. Problem formulation; 2.3. Validity of the observation model in MRFM; 2.4. Literature review; 2.4.1. Sparse denoising; 2.4.2. Variable selection; 2.4.3. Compressed sensing; 2.5. Reconstruction performance criteria; Chapter 3. Iterative Thresholding Methods; 3.1. Introduction; 3.2. Separation of deconvolution and denoising; 3.2.1. Gaussian noise statistics; 3.2.2. Poisson noise statistics.