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Elsevier Magnetic Resonance Image Reconstruction Textbook

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Description

Magnetic Resonance Image Reconstruction: Theory, Methods, and Applications provides a comprehensive look at the fundamental concepts of MR image reconstruction. This volume covers the formulation of reconstruction as an inverse problem and explores common models and optimization methods used to reconstruct MR images. Readers will find detailed discussions on specialized approaches, including non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging, and quantitative MRI. This text serves as a specialized resource for physicists, engineers, technologists, and clinicians who require a deep understanding of medical image reconstruction and MRI technology. Part of the Advances in Magnetic Resonance Technology and Applications series, this book offers essential knowledge for professionals working in radiology and medical imaging.

Key Features

This Elsevier publication covers fundamental concepts of MR image reconstruction and its formulation as an inverse problem.

The text details various optimization methods and common models used for reconstructing MR images.

Included topics cover specific applications such as non-Cartesian imaging and under sampled reconstruction.

The book provides technical insights into motion correction, dynamic imaging, and quantitative MRI.

This resource is designed for physicists, engineers, technologists, and clinicians interested in MRI.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 November 2022
Listed Since
01 February 2020

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