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_a620.5 _222 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aTing, Michael _c(Software engineer) |
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| 245 | 1 | 0 |
_aMolecular Imaging in Nano MRI / _cMichael Ting. |
| 260 |
_aLondon, U.K. : _bISTE ; _aHoboken, N.J. : _bWiley, _c2014. |
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| 300 | _a1 online resource (x, 77 pages). | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 | _aFocus series | |
| 588 | 0 | _aOnline resource; title from PDF title page (Wiley, viewed April 4, 2014). | |
| 505 | 0 | _aCover; 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. | |
| 505 | 8 | _a3.3. Choice of sparse denoising operator in the case of Gaussian noise statistics3.3.1. Comparison to the projected gradient method; 3.4. Hyperparameter selection; 3.5. MAP estimators using the LAZE image prior; 3.5.1. MAP1; 3.5.2. MAP2; 3.5.3. Comparison of MAP1 versus MAP2; 3.6. Simulation example; 3.7. Future directions; Chapter 4. Hyperparameter Selection Using the SURE Criterion; 4.1. Introduction; 4.2. SURE for the lasso estimator; 4.3. SURE for the hybrid estimator; 4.4. Computational considerations; 4.5. Comparison with other criteria; 4.6. Simulation example. | |
| 520 | _aThe 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. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 650 | 0 |
_aMagnetic resonance imaging _xComputer programs. |
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| 650 | 0 | _aNanoscience. | |
| 650 | 0 |
_aNuclear magnetic resonance _xComputer programs. |
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| 650 | 4 |
_aMagnetic resonance imaging _xComputer programs. |
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| 650 | 4 | _aNanoscience. | |
| 650 | 4 |
_aNuclear magnetic resonance _xComputer programs. |
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| 650 | 7 |
_aTECHNOLOGY & ENGINEERING _xEngineering (General) _2bisacsh |
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| 650 | 7 |
_aTECHNOLOGY & ENGINEERING _xReference. _2bisacsh |
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| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aTing, Michael. _tMolecular imaging in nano MRI. _dLondon, U.K : ISTE ; Hoboken, N.J. : Wiley, 2014 _z9781848214743 _w(OCoLC)859185634 |
| 830 | 0 | _aFocus nanoscience and nanotechnology series. | |
| 856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118760949 _zWiley Online Library [Free Download only for SUST IP] |
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