Cargando…

Magnetic resonance image reconstruction /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Doneva, Mariya Ivanova (Editor ), Akcakaya, Mehmet (Editor ), Prieto V�asquez, Claudia (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, an imprint of Elsevier, [2022]
Colección:Advances in magnetic resonance technology and applications ; v. 7.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_on1350510446
003 OCoLC
005 20231120010710.0
006 m o d
007 cr |n|||||||||
008 221109t20222022enk ob 001 0 eng d
040 |a YDX  |b eng  |e rda  |c YDX  |d N$T  |d OPELS  |d UKMGB  |d OCLCO 
015 |a GBC300636  |2 bnb 
016 7 |a 020849993  |2 Uk 
020 |a 9780128227466  |q (electronic bk.) 
020 |a 012822746X  |q (electronic bk.) 
020 |z 9780128227268 
035 |a (OCoLC)1350510446 
050 4 |a QC762.6.M34 
082 0 4 |a 538/.36  |2 23/eng/20221115 
245 0 0 |a Magnetic resonance image reconstruction /  |c [edited by] Mariya Ivanova Doneva, Mehmet Akcakaya, Claudia Prieto. 
246 1 4 |a Magnetic resonance image reconstruction :  |b theory, methods, and applications 
264 1 |a London :  |b Academic Press, an imprint of Elsevier,  |c [2022] 
264 4 |c �2022 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Advances in magnetic resonance technology and applications ;  |v volume 7 
588 |a Description based on print version record. 
504 |a Includes bibliographical references and index. 
505 0 |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> 
650 0 |a Magnetic resonance imaging. 
650 0 |a Image reconstruction. 
650 6 |a Imagerie par r&#xFFFD;esonance magn&#xFFFD;etique.  |0 (CaQQLa)201-0143220 
650 6 |a Reconstruction d'image.  |0 (CaQQLa)201-0246129 
650 7 |a Image reconstruction  |2 fast  |0 (OCoLC)fst00967534 
650 7 |a Magnetic resonance imaging  |2 fast  |0 (OCoLC)fst01005780 
700 1 |a Doneva, Mariya Ivanova,  |e editor. 
700 1 |a Akcakaya, Mehmet,  |e editor. 
700 1 |a Prieto V&#xFFFD;asquez, Claudia,  |e editor. 
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. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/bookseries/26669099/7  |z Texto completo