Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging
Download Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging full books in PDF, epub, and Kindle. Read online free Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Nicole Seiberlich |
| Publisher | : Academic Press |
| Total Pages | : 1094 |
| Release | : 2020-11-18 |
| Genre | : Computers |
| ISBN | : 0128170581 |
Quantitative Magnetic Resonance Imaging is a ‘go-to’ reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: The basic physics behind tissue property mapping How to implement basic pulse sequences for the quantitative measurement of tissue properties The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* The pros and cons for different approaches to mapping perfusion The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor maps and more complex representations of diffusion How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance Fingerprinting can be used to accelerate or improve tissue property mapping schemes How tissue property mapping is used clinically in different organs Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
| Author | : Nicole Seiberlich |
| Publisher | : Academic Press |
| Total Pages | : 1092 |
| Release | : 2020-12-10 |
| Genre | : Computers |
| ISBN | : 0128170573 |
Quantitative Magnetic Resonance Imaging is a 'go-to' reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: The basic physics behind tissue property mapping How to implement basic pulse sequences for the quantitative measurement of tissue properties The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* The pros and cons for different approaches to mapping perfusion The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor maps and more complex representations of diffusion How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance Fingerprinting can be used to accelerate or improve tissue property mapping schemes How tissue property mapping is used clinically in different organs Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
| Author | : Yi Wang, Ph.d. |
| Publisher | : CreateSpace |
| Total Pages | : 228 |
| Release | : 2013-07-01 |
| Genre | : Medical |
| ISBN | : 9781490596990 |
Quantitative Susceptibility Mapping gives a systematic account of the fundamentals of physical concepts, technical algorithms, and biomedical applications associated with magnetic resonance imaging of tissue magnetism. Recent progresses in MRI phase analyses and in numerical optimization solvers of inverse problems and promising applications in studying iron and oxygen metabolisms and hemorrhage have attracted many people to investigate quantitative susceptibility mapping (QSM). The objective of this book is to provide a comprehensive and timely introduction for the newly formed and rapidly growing QSM community. Emphasis has been placed on clarity throughout the narrative. Detailed considerations are presented to clarify the subtleties of the physics of magnetism and magnetic resonance signals: Thorough demonstrations of the forward problem from magnetic susceptibility to field. Comprehensive descriptions of major approaches to solving the field to susceptibility inverse problem. Specific examples of clinical and scientific applications. Engineers, physicists, and clinicians at all levels, from students to established investigators, will find Quantitative Susceptibility Mapping a useful aid in understanding the physical principles of magnetic resonance imaging of tissue magnetic properties.
| Author | : Tian Liu |
| Publisher | : |
| Total Pages | : 154 |
| Release | : 2011 |
| Genre | : |
| ISBN | : |
Magnetic susceptibility is an intrinsic tissue property that reflects underlying concentration of iron, calcification or contrast agents, which are useful for the investigation of a wide range of physiological or pathological conditions. Due to this promising outlook, there has been a long-standing interest in quantifying magnetic susceptibility. Although methods to quantify susceptibility of certain material samples have been proposed in the past, a practical means to measure an arbitrary susceptibility distribution in a living organism was lacking. Consequently, many of the potential applications were still in speculation. This thesis reports a framework that allows quantitative mapping of magnetic susceptibility in human brain using magnetic resonance imaging (MRI). Two major building blocks were proposed to overcome the technical hurdles. First, a background field removal method was developed to obtain the magnetic field of interest free of contamination from background sources. Second, two independent methods were proposed to solve a classical ill-posed inverse problem of determining susceptibility sources from measured magnetic field. With these technical developments, quantitative susceptibility mapping was realized. Its utility was demonstrated in a molecular MRI application, where identification and quantification of iron-based contrast agents are now feasible, and in cerebral MRI, where susceptibility provides a more objective measurement of hemorrhage, allowing cross-center comparisons and longitudinal studies.
| Author | : |
| Publisher | : |
| Total Pages | : 69 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 213 |
| Release | : 2013 |
| Genre | : Magnetic resonance imaging |
| ISBN | : |
| Author | : 林柏宇 |
| Publisher | : |
| Total Pages | : 46 |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
| Author | : Yi Wang |
| Publisher | : CreateSpace |
| Total Pages | : 318 |
| Release | : 2012-10-03 |
| Genre | : Magnetic resonance imaging |
| ISBN | : 9781479350414 |
Principles of Magnetic Resonance Imaging provides a contemporary introduction of the fundamental concepts of MRI and connects these concepts to the latest MRI developments. Graphic illustrations are used to clarify underlying biophysical processes, simplified calculations are derived to add precision in appreciating abstract concepts, and insightful interpretations are presented for biomedical information in MRI signal. This book contains three parts. I. Section the body into voxels, which describes the Fourier encoding matrix for an imaging system, realization of Fourier encoding using the gradient field in magnetic resonance, and k-space sampling. II. What's in a voxel, which examines the effects of the biophysical processes in a voxel on MRI signal. Intuitive biophysical models are developed for MRI signal dependence on Spin fluctuation in thermal microenvironment, which leads to T1/T2 relaxation rates reflecting cellular contents in a water voxel. Micro- and macro physiological motion, which includes diffusion, perfusion, flow and biomechanical motion. Molecular electron response to the B0 field, which leads to magnetic susceptibility and chemical shift. III. How to operate MRI, which describes MRI safety issue, hardware, software, MRI scanning and routine MRI protocols. This book also uses basic concepts to demonstrate and expose students to the latest technological innovations in MRI, including: B1+ B1- mapping, Electric property tomography (EPT), Quantitative susceptibility mapping (QSM), Chemical exchange saturation transfer (CEST), Contrast agents, Molecular MRI, Spin tagging (SPAMM and DENSE), MR elastography, Parallel imaging including SENSE and GRAPPA, Compressed sensing and Bayesian approach.
| Author | : Jorge Campos Pazmino |
| Publisher | : |
| Total Pages | : |
| Release | : 2022 |
| Genre | : |
| ISBN | : |
"Quantitative susceptibility mapping (QSM) is an MRI modality that can estimate the magnetic susceptibility distribution of tissue. QSM uses the assumption that phase shifts in the complex MR measured data are primarily produced by susceptibility-induced field perturbations within the volume-of-interest. Thus, QSM calculates the susceptibility distribution by solving the inverse problem of deriving the susceptibility distribution from the field perturbation in the phase data, which is an ill-posed inverse problem. To solve the inverse problem, the measured phase data requires first post-processing (phase offset correction, phase unwrapping, and weighted least square fit to combine multi-echo phase information) and the removal of background magnetic field perturbations (field perturbations produced outside the volume-of-interest). The separation of QSM in three steps corresponds to conventional QSM. The approach adopted in conventional QSM tends to break down in regions surrounded by steep changes of susceptibility, like the cortical region of the brain. Direct inversion methods combine the background removal and dipole inversion steps in a single algorithm and are proposed as a solution for the shortcomings of conventional QSM. The hypothesis of this project is thus that direct inversion methods are a better option to measure the susceptibility in the cortex when compared to conventional QSM. The results of this project indicate that among the studied methods, conventional QSM is a better option for measuring the susceptibility in deep grey matter structures, while direct inversion techniques are a promising approach to measure the susceptibility in the cortex of the brain. But the lack of refinement of these methods when solving the ill-posed inverse problem highlights the need to improve current methods or to develop novel techniques based on this approach. Also, it is proposed in this thesis that direct inversion methods rely on the orthogonality between the subspaces spanned by dipolar fields inside and outside the volume-of-interest. This theoretical framework explains why direct inversion methods are a promising technique to measure susceptibility in the cortex. Moreover, the proposed explanation outlines the path to improve direct inversion techniques"--
| Author | : Yan Wen |
| Publisher | : |
| Total Pages | : 138 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
Magnetic Resonance Imaging (MRI) is a powerful noninvasive medical imaging technique capable of volumetric imaging at an arbitrary plane. Another feature of MRI is its ability to produce images with different contrasts mechanism using different image acquisition strategies; contrasts mechanisms such as proton spin relaxation (T1, T2, etc.), proton motion (diffusion, perfusion, flow, etc.), and molecular electron cloud polarization (magnetic susceptibility). This dissertation focuses on the tissue magnetic susceptibility, and the technique for the mapping of magnetic susceptibility called the Quantitative Susceptibility Mapping (QSM). Specifically, this dissertation will describe 1) the strategies for cardiac and respiratory motions compensation in QSM data acquisitions, 2) the post-processing methods for generating high quality cardiovascular magnetic susceptibility maps, 3) the initial experiences of cardiovascular QSM in clinical settings, and 4) a novel QSM reconstruction algorithm to improve the signal model in dipole inversion.
