MRI: Physics, Image Reconstruction, and Analysis

Author:   Angshul Majumdar (Indraprastha Institute of Information Technology, Delhi, India) ,  Rabab Ward (University of British Columbia, Vancouver, Canada) ,  Rabab K. Ward
Publisher:   Taylor & Francis Inc
Volume:   49
ISBN:  

9781482298871


Pages:   202
Publication Date:   28 October 2015
Format:   Hardback
Availability:   In Print   Availability explained
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MRI: Physics, Image Reconstruction, and Analysis


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Author:   Angshul Majumdar (Indraprastha Institute of Information Technology, Delhi, India) ,  Rabab Ward (University of British Columbia, Vancouver, Canada) ,  Rabab K. Ward
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   49
Dimensions:   Width: 15.60cm , Height: 1.50cm , Length: 23.40cm
Weight:   0.566kg
ISBN:  

9781482298871


ISBN 10:   1482298872
Pages:   202
Publication Date:   28 October 2015
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

T1rho MR Imaging: Principle, Technology, and Application. Recursive Reconstruction of Highly Undersampled Functional MRI Sequences. Compressed Sensing in Quantitative MRIs. Parallel Magnetic Resonance Imaging. Parallel Imaging and Reconstruction. Accelerated Dynamic MRI Using Adaptive Signal Models. Brain Connectivity Mapping and Analysis Using Diffusion MRI. Brain Connectivity Assessed with Functional MRI.

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Author Information

Angshul Majumdar is an assistant professor of electronics and communications engineering at the Indraprastha Institute of Information Technology, Delhi, India. He received his Ph.D from the University of British Columbia, Vancouver, Canada. Dr. Majumdar has published more than 50 papers in top-tier journals and conferences during the past 5 years, including more than 25 papers on reducing the acquisition time in magnetic resonance imaging and several papers on robust classification techniques with applications in face recognition, fingerprint recognition, and optical character recognition. Before he started in academia, he worked as a business consultant for PricewaterhouseCoopers. Rabab Ward is a professor in the Electrical and Computer Engineering Department at the University of British Columbia, Vancouver, Canada. She has published more than 150 refereed journal papers and 300 refereed conference articles, and holds 6 patents. A fellow of several professional societies, Dr. Ward is highly decorated, having received the highest award of the IEEE Signal Processing Society; the Association of Professional Engineers and Geoscientists of British Columbia’s top engineering award; and more. She is currently president-elect of the IEEE Signal Processing Society. She was the general chair of IEEE ICIP 2000 and co-chair of IEEE ICASSP 2013.

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