Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms A Convex Optimization Approach /

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is po...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Deka, Bhabesh (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Datta, Sumit (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Springer Series on Bio- and Neurosystems, 9
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1. Introduction to Compressed Sensing Magnetic Resonance Imaging
  • 2. Compressed Sensing MRI Reconstruction Problem
  • 3. Fast Algorithms for Compressed Sensing MRI Reconstruction
  • 4. Simulation Results
  • 5. Performance Evaluation and Benchmark Setting
  • 6. Conclusions and Future Directions.