Joseph Suresh Paul, Raji Susan Mathew

Regularized Image Reconstruction in Parallel MRI with MATLAB (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book provides a detailed discussion on the issues and challenges relating to choice and usage of regularization methods applied to pMRI reconstruction algorithms. The book summarizes aspects required for judiciously choosing regularization parameters for artifact and noise free reconstruction with relevance to specific reconstruction variant.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 322
• Erscheinungstermin: 5. November 2019
• Englisch
• ISBN-13: 9781351029247
• Artikelnr.: 58077766

Autorenporträt

Joseph Suresh Paul

Joseph Suresh Paul is currently a Professor at the Indian Institute of Information Technology and Management- Kerala (IIITM-K), India. He obtained his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology, Madras, India in the year 2000. His research is focused on MR imaging from the perspective of accelerating image acquisition, with the goal of enhancing clinically relevant features using filters integrated into the reconstruction process. His other interests include mathematical applications to problems in MR image reconstruction, compressed sensing, and super resolution techniques for MRI. He has published a number of articles in peer-reviewed international journals of high repute.

Raji Susan Mathew

Raji Susan Mathew is currently pursuing her Ph.D. degree in the area of MR image reconstruction. She received bachelor degree in Electronics and Communication Engineering from the Mahatma Gandhi university, Kottayam and master's degree in signal processing from the Cochin university of science and technology, Kochi in 2011 and 2013. She is a recipient of the Maulana Azad National Fellowship (MANF) by the University Grants Commission (UGC), India. Her research interests include regularization techniques for MR image reconstruction and Compressed Sensing.