Electronic Resource

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

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Penilaian

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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 possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need for the CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio- and Neuro-informatics applications.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001757	EB0002384	616.075 48 Dek c	Central Library	Available

Detail Information

Series Title

Springer Series on Bio- and Neurosystems

Call Number

616.075 48 Dek c

Publisher

Singapore : Springer Singapore., 2018

Collation

XIII, 122p.:Ill

Language

English

ISBN/ISSN

978-981-13-3597-6

Classification

616.075 48

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Magnetic Resonance Imaging

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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