Compressed Sensing for Magnetic Resonance Image Reconstruction
eBook - PDF

Compressed Sensing for Magnetic Resonance Image Reconstruction

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Compressed Sensing for Magnetic Resonance Image Reconstruction

About this book

Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers.

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Yes, you can access Compressed Sensing for Magnetic Resonance Image Reconstruction by Angshul Majumdar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents
  5. List of Figures
  6. List of Tables
  7. Foreword
  8. Preface
  9. Acknowledgements
  10. 1. Mathematical Techniques
  11. 2. Single Channel Static MR Image Reconstruction
  12. 3. Multi-Coil Parallel MRI Reconstruction
  13. 4. Dynamic MRI Reconstruction
  14. 5. Applications in Other Areas
  15. 6. Some Open Problems
  16. Index
  17. About the author