Molecular Imaging in Nano MRI:
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 o...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Somerset
Wiley
2014
|
| Edition: | 1st ed |
| Series: | FOCUS Series
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| Subjects: | |
| Summary: | 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 |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 online resource (57 pages) |
| ISBN: | 9781118760895 9781848214743 |
Staff View
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:51Z |
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| isbn | 9781118760895 9781848214743 |
| language | English |
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| spelling | Ting, Michael Verfasser aut Molecular Imaging in Nano MRI 1st ed Somerset Wiley 2014 © 2014 1 online resource (57 pages) txt rdacontent c rdamedia cr rdacarrier FOCUS Series Description based on publisher supplied metadata and other sources 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 Magnetic resonance imaging -- Computer programs Nanoscience Nuclear magnetic resonance -- Computer programs Erscheint auch als Druck-Ausgabe Ting, Michael Molecular Imaging in Nano MRI |
| spellingShingle | Ting, Michael Molecular Imaging in Nano MRI Magnetic resonance imaging -- Computer programs Nanoscience Nuclear magnetic resonance -- Computer programs |
| title | Molecular Imaging in Nano MRI |
| title_auth | Molecular Imaging in Nano MRI |
| title_exact_search | Molecular Imaging in Nano MRI |
| title_full | Molecular Imaging in Nano MRI |
| title_fullStr | Molecular Imaging in Nano MRI |
| title_full_unstemmed | Molecular Imaging in Nano MRI |
| title_short | Molecular Imaging in Nano MRI |
| title_sort | molecular imaging in nano mri |
| topic | Magnetic resonance imaging -- Computer programs Nanoscience Nuclear magnetic resonance -- Computer programs |
| topic_facet | Magnetic resonance imaging -- Computer programs Nanoscience Nuclear magnetic resonance -- Computer programs |
| work_keys_str_mv | AT tingmichael molecularimaginginnanomri |