Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI.

Explains the underlying principles of MRI reconstruction, along with the latest research<
Gives example codes for some of the methods presented
Includes updates on the latest developments, including compressed sensing, tensor-based reconstruction and machine learning based reconstruction

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.

At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.

Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes, you can access Magnetic Resonance Image Reconstruction by Mehmet Akcakaya,Mariya Ivanova Doneva,Claudia Prieto in PDF and/or ePUB format, as well as other popular books in Ciencias físicas & Física. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2022

ISBN

9780128227466

Topic

Ciencias físicas

Subtopic

Física

Cover image
Title page
Table of Contents
Copyright
Contributors
Editor Biographies
Introduction
Chapter 1: Brief Introduction to MRI Physics
Chapter 2: MRI Reconstruction as an Inverse Problem
Chapter 3: Optimization Algorithms for MR Reconstruction
Chapter 4: Non-Cartesian MRI Reconstruction
Chapter 5: “Early” Constrained Reconstruction Methods
Chapter 6: Parallel Imaging
Chapter 7: Simultaneous Multislice Reconstruction
Chapter 8: Sparse Reconstruction
Chapter 9: Low-Rank Matrix and Tensor–Based Reconstruction
Chapter 10: Dictionary, Structured Low-Rank, and Manifold Learning-Based Reconstruction
Chapter 11: Machine Learning for MRI Reconstruction
Chapter 12: Imaging in the Presence of Magnetic Field Inhomogeneities
Chapter 13: Motion-Corrected Reconstruction
Chapter 14: Chemical Shift Encoding-Based Water-Fat Separation
Chapter 15: Model-Based Parametric Mapping Reconstruction
Chapter 16: Quantitative Susceptibility-Mapping Reconstruction
Appendix A: Linear Algebra Primer
Index