MRI

MRI
Author: Angshul Majumdar,Rabab Kreidieh Ward
Publsiher: CRC Press
Total Pages: 222
Release: 2018-09-03
ISBN: 1482298899
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

MRI Book Excerpt:

The field of magnetic resonance imaging (MRI) has developed rapidly over the past decade, benefiting greatly from the newly developed framework of compressed sensing and its ability to drastically reduce MRI scan times. MRI: Physics, Image Reconstruction, and Analysis presents the latest research in MRI technology, emphasizing compressed sensing-based image reconstruction techniques. The book begins with a succinct introduction to the principles of MRI and then: Discusses the technology and applications of T1rho MRI Details the recovery of highly sampled functional MRIs Explains sparsity-based techniques for quantitative MRIs Describes multi-coil parallel MRI reconstruction techniques Examines off-line techniques in dynamic MRI reconstruction Explores advances in brain connectivity analysis using diffusion and functional MRIs Featuring chapters authored by field experts, MRI: Physics, Image Reconstruction, and Analysis delivers an authoritative and cutting-edge treatment of MRI reconstruction techniques. The book provides engineers, physicists, and graduate students with a comprehensive look at the state of the art of MRI.

Magnetic Resonance Image Reconstruction

Magnetic Resonance Image Reconstruction
Author: Mariya Ivanova Doneva,Mehmet Akcakaya,Claudia Prieto
Publsiher: Academic Press
Total Pages: 375
Release: 2022-10-15
ISBN: 9780128227268
Category: Science
Language: EN, FR, DE, ES & NL

Magnetic Resonance Image Reconstruction Book Excerpt:

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“/li> 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

Compressed Sensing for Magnetic Resonance Image Reconstruction

Compressed Sensing for Magnetic Resonance Image Reconstruction
Author: Angshul Majumdar
Publsiher: Cambridge University Press
Total Pages: 227
Release: 2015-02-26
ISBN: 1107103762
Category: Computers
Language: EN, FR, DE, ES & NL

Compressed Sensing for Magnetic Resonance Image Reconstruction Book Excerpt:

"Discusses different ways to use existing mathematical techniques to solve compressed sensing problems"--Provided by publisher.

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms
Author: Bhabesh Deka,Sumit Datta
Publsiher: Springer
Total Pages: 122
Release: 2018-12-29
ISBN: 9811335974
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms Book Excerpt:

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.

Regularized Image Reconstruction in Parallel MRI with MATLAB

Regularized Image Reconstruction in Parallel MRI with MATLAB
Author: Joseph Suresh Paul,Raji Susan Mathew
Publsiher: CRC Press
Total Pages: 271
Release: 2019-11-05
ISBN: 135102924X
Category: Medical
Language: EN, FR, DE, ES & NL

Regularized Image Reconstruction in Parallel MRI with MATLAB Book Excerpt:

Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples, or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful.

Magnetic Resonance Imaging with Nonlinear Gradient Fields

Magnetic Resonance Imaging with Nonlinear Gradient Fields
Author: Gerrit Schultz
Publsiher: Springer Science & Business Media
Total Pages: 333
Release: 2013-04-04
ISBN: 3658011343
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Magnetic Resonance Imaging with Nonlinear Gradient Fields Book Excerpt:

​Within the past few decades MRI has become one of the most important imaging modalities in medicine. For a reliable diagnosis of pathologies further technological improvements are of primary importance. This study deals with a radically new approach of image encoding. Gradient linearity has ever since been an unquestioned technological design criterion. With the advent of parallel imaging, this approach may be questioned, making way of much a more flexible gradient hardware that uses encoding fields with an arbitrary geometry. The theoretical basis of this new imaging modality – PatLoc imaging – are comprehensively presented, suitable image reconstruction algorithms are developed for a variety of imaging sequences and imaging results – including in vivo data – are explored based on novel hardware designs.

Improved Image Reconstruction Methods for Parallel Magnetic Resonance Imaging

Improved Image Reconstruction Methods for Parallel Magnetic Resonance Imaging
Author: Kaiyu Zheng
Publsiher: Unknown
Total Pages: 212
Release: 2010
ISBN: 1928374650XXX
Category: Magnetic resonance imaging
Language: EN, FR, DE, ES & NL

Improved Image Reconstruction Methods for Parallel Magnetic Resonance Imaging Book Excerpt:

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms
Author: Sumit Datta
Publsiher: Unknown
Total Pages: 133
Release: 2019
ISBN: 9789811335983
Category: Compressed sensing (Telecommunication)
Language: EN, FR, DE, ES & NL

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms Book Excerpt:

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.

Image Reconstruction for Spiral Scanning in Magnetic Resonance Imaging

Image Reconstruction for Spiral Scanning in Magnetic Resonance Imaging
Author: Weitian Chen
Publsiher: Unknown
Total Pages: 206
Release: 2008
ISBN: 9780549476269
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Image Reconstruction for Spiral Scanning in Magnetic Resonance Imaging Book Excerpt:

Spiral scanning is a valuable imaging method in magnetic resonance imaging (MRI). It can achieve high time- and SNR-efficiency in k-space sampling, good immunity to flow and motion effects, and excellent temporal resolution in dynamic imaging.

Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
Author: Farah Deeba,Patricia Johnson,Tobias Würfl,Jong Chul Ye
Publsiher: Springer Nature
Total Pages: 163
Release: 2020-10-21
ISBN: 3030615987
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning for Medical Image Reconstruction Book Excerpt:

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Advanced Image Reconstruction in Parallel Magnetic Resonance Imaging

Advanced Image Reconstruction in Parallel Magnetic Resonance Imaging
Author: Ernest Nanjung Yeh,Harvard University--MIT Division of Health Sciences and Technology
Publsiher: Unknown
Total Pages: 180
Release: 2005
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Advanced Image Reconstruction in Parallel Magnetic Resonance Imaging Book Excerpt:

(cont.) Second, two matrix inversion strategies are presented which, respectively, exploit physical properties of coil encoding and the phase information of the magnetization. While the former allows stable and distributable matrix inversion using the k-space locality principle, the latter integrates parallel image reconstruction with conjugate symmetry. Third, a numerical strategy is presented for computing noise statistics of parallel MRI techniques which involve magnitude image combination, enabling quantitative image comparison. In addition, fundamental limits on the performance of parallel image reconstruction are derived using the Cramer-Rao bounds. Lastly, the practical applications of techniques developed in this thesis are demonstrated by a case study in improved coronary angiography.

Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
Author: Nandinee Haq,Patricia Johnson,Andreas Maier,Tobias Würfl,Jaejun Yoo
Publsiher: Springer Nature
Total Pages: 142
Release: 2021-09-29
ISBN: 3030885526
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning for Medical Image Reconstruction Book Excerpt:

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Medical Image Reconstruction

Medical Image Reconstruction
Author: Gengsheng Zeng
Publsiher: Springer Science & Business Media
Total Pages: 198
Release: 2010-12-28
ISBN: 3642053688
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Medical Image Reconstruction Book Excerpt:

"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l0-minimization are also included. This book is written for engineers and researchers in the field of biomedical engineering specializing in medical imaging and image processing with image reconstruction. Gengsheng Lawrence Zeng is an expert in the development of medical image reconstruction algorithms and is a professor at the Department of Radiology, University of Utah, Salt Lake City, Utah, USA.

Advanced Image Processing in Magnetic Resonance Imaging

Advanced Image Processing in Magnetic Resonance Imaging
Author: Luigi Landini,Vincenzo Positano,Maria Santarelli
Publsiher: CRC Press
Total Pages: 632
Release: 2018-10-03
ISBN: 1420028669
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Image Processing in Magnetic Resonance Imaging Book Excerpt:

The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field. Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory data analysis, Bayesian inference, and nonlinear analysis. Many of the results presented in the book are derived from the contributors' own work, imparting highly practical experience through experimental and numerical methods. Contributed by international experts at the forefront of the field, Advanced Image Processing in Magnetic Resonance Imaging is an indispensable guide for anyone interested in further advancing the technology and capabilities of MR imaging.

Magnetic Resonance Imaging

Magnetic Resonance Imaging
Author: Rajinikanth V.,Nilanjan Dey
Publsiher: Academic Press
Total Pages: 188
Release: 2022-02-15
ISBN: 0128234024
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Magnetic Resonance Imaging Book Excerpt:

Magnetic Resonance Imaging: Recording, Reconstruction and Assessment gives a detailed overview of magnetic resonance imaging (MRI), along with its applications and challenges. The book explores the abnormalities in internal human organs using MRI techniques while also featuring case studies that illustrate measures used. In addition, it explores precautionary measures used during MRI based imaging, the selection of appropriate contrast agents, and the selection of the appropriate modality during the image registration. Sections introduce medical imaging, the use of MRI in brain, cardiac, lung and kidney detection, and also discuss both 2D and 3D imaging techniques and various MRI modalities. This volume will be of interest to researchers, engineers and medical professionals involved in the development and use of MRI systems. Discusses challenges and issues faced, as well as safety precautions to be followed Features case studies with benchmark MRIs existing in the literature Introduces computer-based assessment (Machine Learning and Deep Learning) of the MRI based on its 2D slices

Parallel Imaging in Clinical MR Applications

Parallel Imaging in Clinical MR Applications
Author: Stefan O. Schönberg,Olaf Dietrich,Maximilian F Reiser
Publsiher: Springer Science & Business Media
Total Pages: 564
Release: 2007-01-11
ISBN: 354068879X
Category: Medical
Language: EN, FR, DE, ES & NL

Parallel Imaging in Clinical MR Applications Book Excerpt:

This book presents the first in-depth introduction to parallel imaging techniques and, in particular, to the application of parallel imaging in clinical MRI. It will provide readers with a broader understanding of the fundamental principles of parallel imaging and of the advantages and disadvantages of specific MR protocols in clinical applications in all parts of the body at 1.5 and 3 Tesla.

Magnetic Resonance Imaging

Magnetic Resonance Imaging
Author: Robert W. Brown,Y.-C. Norman Cheng,E. Mark Haacke,Michael R. Thompson,Ramesh Venkatesan
Publsiher: John Wiley & Sons
Total Pages: 976
Release: 2014-05-02
ISBN: 1118633970
Category: Medical
Language: EN, FR, DE, ES & NL

Magnetic Resonance Imaging Book Excerpt:

New edition explores contemporary MRI principles and practices Thoroughly revised, updated and expanded, the second edition of Magnetic Resonance Imaging: Physical Principles and Sequence Design remains the preeminent text in its field. Using consistent nomenclature and mathematical notations throughout all the chapters, this new edition carefully explains the physical principles of magnetic resonance imaging design and implementation. In addition, detailed figures and MR images enable readers to better grasp core concepts, methods, and applications. Magnetic Resonance Imaging, Second Edition begins with an introduction to fundamental principles, with coverage of magnetization, relaxation, quantum mechanics, signal detection and acquisition, Fourier imaging, image reconstruction, contrast, signal, and noise. The second part of the text explores MRI methods and applications, including fast imaging, water-fat separation, steady state gradient echo imaging, echo planar imaging, diffusion-weighted imaging, and induced magnetism. Lastly, the text discusses important hardware issues and parallel imaging. Readers familiar with the first edition will find much new material, including: New chapter dedicated to parallel imaging New sections examining off-resonance excitation principles, contrast optimization in fast steady-state incoherent imaging, and efficient lower-dimension analogues for discrete Fourier transforms in echo planar imaging applications Enhanced sections pertaining to Fourier transforms, filter effects on image resolution, and Bloch equation solutions when both rf pulse and slice select gradient fields are present Valuable improvements throughout with respect to equations, formulas, and text New and updated problems to test further the readers' grasp of core concepts Three appendices at the end of the text offer review material for basic electromagnetism and statistics as well as a list of acquisition parameters for the images in the book. Acclaimed by both students and instructors, the second edition of Magnetic Resonance Imaging offers the most comprehensive and approachable introduction to the physics and the applications of magnetic resonance imaging.

Magnetic Resonance Imaging

Magnetic Resonance Imaging
Author: Lachezar Manchev
Publsiher: BoD – Books on Demand
Total Pages: 116
Release: 2019-07-17
ISBN: 1789238218
Category: Medical
Language: EN, FR, DE, ES & NL

Magnetic Resonance Imaging Book Excerpt:

Diagnostic imaging has undergone many changes over the last several years. Technical developments have defined Magnetic Resonance Imaging (MRI) as the leading diagnostic modality in different diseases. MRI is definitive and sensitive and the current requirements of medicine call for radiologists to be proficient in its use. This book provides complete and detailed information about the fast-developing field of MRI from physicians, radiologists, and other clinical specialists. It is a practical guide to using MRI in areas such as cardiology and pulmonology, among others.

Magnetic Resonance Imaging

Magnetic Resonance Imaging
Author: Robert W. Brown,E. Mark Haacke,Y.-C. Norman Cheng,Michael R. Thompson,Ramesh Venkatesan
Publsiher: John Wiley & Sons
Total Pages: 944
Release: 2014-06-23
ISBN: 0471720852
Category: Medical
Language: EN, FR, DE, ES & NL

Magnetic Resonance Imaging Book Excerpt:

Preceded by Magnetic resonance imaging: physical principles and sequence design / E. Mark Haacke ... [et al.]. c1999.

Synthetic Magnetic Resonance Image Reconstruction Based on Parametric Weighted Images for Contrast Ehnacement at High Field MRI

Synthetic Magnetic Resonance Image Reconstruction Based on Parametric Weighted Images for Contrast Ehnacement at High Field MRI
Author: David Milford
Publsiher: Unknown
Total Pages: 198
Release: 2013
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Synthetic Magnetic Resonance Image Reconstruction Based on Parametric Weighted Images for Contrast Ehnacement at High Field MRI Book Excerpt: