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...

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Detaylı Bibliyografya
Asıl Yazarlar: Deka, Bhabesh (Yazar), Datta, Sumit (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Springer Series on Bio- and Neurosystems, 9
Konular:
Signal processing.
Biomedical engineering.
Radiology.
Signal, Speech and Image Processing.
Biomedical Engineering and Bioengineering.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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.

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