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221109t20222022enk ob 001 0 eng d |
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|a YDX
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|a 020849993
|2 Uk
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|a 9780128227466
|q (electronic bk.)
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|a 012822746X
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|z 9780128227268
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|a (OCoLC)1350510446
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|a QC762.6.M34
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|a 538/.36
|2 23/eng/20221115
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|a Magnetic resonance image reconstruction /
|c [edited by] Mariya Ivanova Doneva, Mehmet Akcakaya, Claudia Prieto.
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|a Magnetic resonance image reconstruction :
|b theory, methods, and applications
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|a London :
|b Academic Press, an imprint of Elsevier,
|c [2022]
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|c �2022
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Advances in magnetic resonance technology and applications ;
|v volume 7
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|a Description based on print version record.
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|a Includes bibliographical references and index.
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|a <P><b>PART 1 Basics of MRI Reconstruction </b>1. Brief introduction to MRI physics 2. MRI reconstruction as an inverse problem 3. Optimization algorithms for MR reconstruction 4. Non-Cartesian MRI reconstruction 5. "Early#x94; constrained reconstruction methods</p> <p><b>PART 2 Reconstruction of undersampled MRI data</b> 6. Parallel imaging 7. Simultaneous multislice reconstruction 8. Sparse reconstruction 9. Low-rank matrix and tensor-based reconstruction 10. Dictionary, structured low-rank, and manifold learning-based reconstruction 11. Machine learning for MRI reconstruction</p> <p><b>PART 3 Reconstruction methods for nonlinear forward models in MRI </b>12. Imaging in the presence of magnetic field inhomogeneities 13. Motion-corrected reconstruction 14. Chemical shift encoding-based water-fat separation 15. Model-based parametric mapping reconstruction 16. Quantitative susceptibility-mapping reconstruction</p> <p>APPENDIX A Linear algebra primer</p>
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|a Magnetic resonance imaging.
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|a Image reconstruction.
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|a Imagerie par r�esonance magn�etique.
|0 (CaQQLa)201-0143220
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650 |
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|a Reconstruction d'image.
|0 (CaQQLa)201-0246129
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650 |
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7 |
|a Image reconstruction
|2 fast
|0 (OCoLC)fst00967534
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650 |
|
7 |
|a Magnetic resonance imaging
|2 fast
|0 (OCoLC)fst01005780
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1 |
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|a Doneva, Mariya Ivanova,
|e editor.
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1 |
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|a Akcakaya, Mehmet,
|e editor.
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700 |
1 |
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|a Prieto V�asquez, Claudia,
|e editor.
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776 |
0 |
8 |
|i Print version:
|t Magnetic resonance image reconstruction.
|d Amsterdam : Academic Press, 2022
|z 9780128227268
|w (OCoLC)1338683778
|
776 |
0 |
8 |
|i Print version:
|z 0128227265
|z 9780128227268
|w (OCoLC)1245656543
|
830 |
|
0 |
|a Advances in magnetic resonance technology and applications ;
|v v. 7.
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856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/bookseries/26669099/7
|z Texto completo
|