Download or read book Toward Advances in Data Acquisition and Analysis for Quantitative Multi contrast Magnetic Resonance Imaging written by Kalina Polet Slavkova and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative magnetic resonance imaging for cancer is an invaluable noninvasive imaging tool with superior tissue contrast and greater specificity for disease than other imaging modalities; however, MRI is costly and lengthy, making it difficult to deploy quantitative imaging techniques alongside existing clinical protocols. Moreover, radiologists require high spatial resolution images for anatomical interpretation, which is not often reconcilable with the need for high temporal resolution in dynamic quantitative imaging schemes. The purpose of this dissertation is to develop novel analysis and acquisition methods that support fast quantitative imaging for substantiating clinical protocols without necessitating significantly longer scan times, thereby providing opportunity for clinical deployment of quantitative MRI protocols. This purpose is achieved through three distinct approaches. First, we take high temporal resolution dynamic contrast-enhanced MRI data from women with locally advanced breast cancer and retrospectively abbreviate the data to varying degrees. We subsequently analyze the full-length and abbreviated datasets with perfusion models and assess the agreement between the quantitative parameters from the full-length and abbreviated analyses, showing that scans can be shortened by up to 58%. Second, using fully sampled variable-flip angle raw data of the brain from healthy volunteers, we retrospectively accelerate the raw data by 8- to 36-fold and apply an untrained deep learning method with physics-based regularization to reconstruct the anatomical images while simultaneously computing the relevant quantitative parameter map. We achieve images with high spatial resolution and quantitative maps that agree strongly with the quantitative information computed from the fully sampled data. Finally, with the purpose of noninvasively describing tumor heterogeneity, we identify three distinct tumor habitats by clustering multiparametric quantitative information from diffusion-weighted and dynamic contrast-enhanced MRI data from a murine model of glioma collected at multiple imaging visits. We subsequently model the growth of the tumor habitats over time with a system of ordinary differential equations, thereby establishing a computationally fast pipeline for noninvasive tumor habitat growth prediction. Overall, these approaches yield novel methods that enable fast acquisition of quantitative MRI data as well as pipelines for retrospective abbreviation and analysis of existing quantitative MRI data

Download or read book Quantitative Magnetic Resonance Imaging written by Nicole Seiberlich and published by Academic Press. This book was released on 2020-11-18 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book New Advances in Magnetic Resonance Imaging written by Denis Larrivee and published by BoD – Books on Demand. This book was released on 2024-02 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fast Quantitative Magnetic Resonance Imaging written by Guido Buonincontri and published by Morgan & Claypool Publishers. This book was released on 2020-02-20 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among medical imaging modalities, magnetic resonance imaging (MRI) stands out for its excellent soft-tissue contrast, anatomical detail, and high sensitivity for disease detection. However, as proven by the continuous and vast effort to develop new MRI techniques, limitations and open challenges remain. The primary source of contrast in MRI images are the various relaxation parameters associated with the nuclear magnetic resonance (NMR) phenomena upon which MRI is based. Although it is possible to quantify these relaxation parameters (qMRI) they are rarely used in the clinic, and radiological interpretation of images is primarily based upon images that are relaxation time weighted. The clinical adoption of qMRI is mainly limited by the long acquisition times required to quantify each relaxation parameter as well as questions around their accuracy and reliability. More specifically, the main limitations of qMRI methods have been the difficulty in dealing with the high inter-parameter correlations and a high sensitivity to MRI system imperfections. Recently, new methods for rapid qMRI have been proposed. The multi-parametric models at the heart of these techniques have the main advantage of accounting for the correlations between the parameters of interest as well as system imperfections. This holistic view on the MR signal makes it possible to regress many individual parameters at once, potentially with a higher accuracy. Novel, accurate techniques promise a fast estimation of relevant MRI quantities, including but not limited to longitudinal (T1) and transverse (T2) relaxation times. Among these emerging methods, MR Fingerprinting (MRF), synthetic MR (syMRI or MAGIC), and T1‒T2 Shuffling are making their way into the clinical world at a very fast pace. However, the main underlying assumptions and algorithms used are sometimes different from those found in the conventional MRI literature, and can be elusive at times. In this book, we take the opportunity to study and describe the main assumptions, theoretical background, and methods that are the basis of these emerging techniques. Quantitative transient state imaging provides an incredible, transformative opportunity for MRI. There is huge potential to further extend the physics, in conjunction with the underlying physiology, toward a better theoretical description of the underlying models, their application, and evaluation to improve the assessment of disease and treatment efficacy.

Download or read book Magnetic Resonance Image Reconstruction written by Mehmet Akcakaya and published by Academic Press. This book was released on 2022-11-04 with total page 518 pages. Available in PDF, EPUB and Kindle. 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

Download or read book Advanced Image Processing in Magnetic Resonance Imaging written by Luigi Landini and published by CRC Press. This book was released on 2018-10-03 with total page 632 pages. Available in PDF, EPUB and Kindle. 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.

Download or read book Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology written by Alan Jackson and published by Springer Science & Business Media. This book was released on 2005-11-02 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic contrast-enhanced MRI is now established as the methodology of choice for the assessment of tumor microcirculation in vivo. The method assists clinical practitioners in the management of patients with solid tumors and is finding prominence in the assessment of tumor treatments, including anti-angiogenics, chemotherapy, and radiotherapy. Here, leading authorities discuss the principles of the methods, their practical implementation, and their application to specific tumor types. The text is an invaluable single-volume reference that covers all the latest developments in contrast-enhanced oncological MRI.

Download or read book Advanced Clinical MRI of the Kidney written by Suraj D. Serai and published by Springer Nature. This book was released on 2023-12-19 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the concepts of quantitative MRI for kidney imaging. Kidney MRI holds incredible promise for making a quantum leap in improving diagnosis and care of patients with a multitude of diseases, by moving beyond the limitations and restrictions of current routine clinical practice. Clinical kidney MRI is advancing with ever increasing rapidity, and yet, it is still not good enough. Several roadblocks still slow the pace of progress, particularly inefficient education of renal MR researchers, and lack of harmonization of approaches that limits the sharing of results among multiple research groups. With the help of this book, we aim to address these limitations, by providing a comprehensive collection of more chapters on MRI methods that serve as a foundational resource for clinical kidney MRI studies. This includes chapters describing the fundamental principles underlying a variety of kidney MRI methods, step-by-step protocols for executing kidney MRI studies, and detailed guides for post-processing and data analysis. This collection serves as a crucial part of a roadmap towards conducting kidney MRI studies in a robust and reproducible way, that promotes the standardization and sharing of data, and ultimately, clinical translation. Chapters are divided into three parts: MRI physics and acquisition protocols, post-processing and data analysis methods, and clinical applications. The first section includes MRI physics background and describe a detailed step by step MRI acquisition protocol. If a clinician would like to perform a renal MRI – this would include the parameters to set up the acquisition on the scanner. By this section, the reader should have the details to be able to successfully collect human renal MR images. In the second section, expert authors describe methods on how to post-process and analyze the data. By this section, the reader should have the details to be able to successfully generate quantitative data from the human renal MR images. In the final section, chapters show clinical examples of various methods. Authors share examples of multi-parametric renal MRI that are being used in clinical practice. This is an ideal guide for clinicians from radiology, nephrology, physiology, clinical scientists, and as well as basic scientists and experts in imaging sciences and physics of kidney MRI. It also provides an opportunity to students, trainees, and post-doctoral fellows to learn about these kidney MRI techniques.

Download or read book Advanced Data Acquisition and Reconstruction Techniques for Fast Radial Magnetic Resonance Imaging written by Ali Ersoz and published by . This book was released on 2016 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Quantitative Diffusion Magnetic Resonance Imaging of the Brain written by Nathan S. White and published by . This book was released on 2010 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Owing to its exquisitely sensitive contrast mechanism, diffusion magnetic resonance imaging is a powerful non-invasive approach for studying the microstructural properties of the human brain in vivo. Magnetic resonance images are made sensitive to the microscopic displacements of water molecules that take place in brain tissue as part of the natural, physical diffusion process. Tissue water is used as an intrinsic probe, revealing important clues into the subtle architectural features of normal and pathologic brain tissue. Typical inferences include the intravoxel orientation distribution of neuronal fibers and changes in diffusion resulting from cell swelling in acute stroke. However, despite the many important advances made in the field of diffusion magnetic resonance imaging over the past decade, quantitative inference in the human brain remains somewhat limited due to the lack of direct quantitative validation against realistic biological architectures and practical limitations in data collection due to sub-optimal design parameters and artifacts caused by patient motion during scanning. In addition, current methods to resolve neuronal fiber orientations are unable to disambiguate fiber structures at different microscopic length (size) scales. In this dissertation I present a series of studies addressing each of these important limitations, starting with a general real-time image-based technique for motion correction in magnetic resonance images and ending with a series of studies on inferring complex fiber orientations from diffusion data, addressing issues such as quantitative histological validation, optimal acquisition, and improved multi-scale analysis.

Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2019-09-25 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.

Download or read book Advanced Quantitative Indexes in Cardiovascular Magnetic Resonance Imaging written by Xiaoyue Zhou and published by Frontiers Media SA. This book was released on 2024-08-28 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decades, advanced quantitative indexes obtained by cardiovascular magnetic resonance imaging (CMRI), such as myocardial strain, myocardial T1/ECV/T2/T2* relaxation value, myocardial blood flow quantification index and hemodynamics indexes, have been proposed as an alternative for non-invasive quantitative evaluation in various cardiovascular diseases. Those quantitative indexes have been proven to be more sensitive in assessing the early change of myocardial tissue, ventricular function, or hemodynamics, compared to the conventional qualitative methods. However, there are many challenges in the accurate measurement of those indexes as well as the evaluation of their clinical significance in the diagnosis and prognosis of a certain disease. Besides, quality control and standardization of those indexes become crucial when promoting them into clinical practice. This Research Topic will offer comprehensive reviews and original research articles of the newly emerged quantitative CMRI methods and the clinical insights of the diagnostic and prognostic value of those advanced CMRI indexes. CMRI techniques such as myocardial strain analysis, quantitative myocardial tissue mapping, 2-dimensional / 4-dimensional flow quantification and quantitative perfusion will be of our interest. The aim of this Research Topic will be to highlight the promising technical improvements in the accurate measurement of the CMRI indexes, and/or the added value of those indexes in disease diagnosis and prognosis. Meanwhile, quality control and standardization of the advanced CMRI indexes in multi-centre / multi-vendor research projects will be discussed.

Download or read book Quantitative MRI of the Brain written by Mara Cercignani and published by CRC Press. This book was released on 2018-01-12 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the success of the first edition of this book, the winner of the 2004 British Medical Association Radiology Medical Book Competition, Quantitative MRI of the Brain: Principles of Physical Measurement gives a unique view on how to use an MRI machine in a new way. Used as a scientific instrument it can make measurements of a myriad of physical and biological quantities in the human brain and body. For each small tissue voxel, non-invasive information monitors how tissue changes with disease and responds to treatment. The book opens with a detailed exposition of the principles of good practice in quantification, including fundamental concepts, quality assurance, MR data collection and analysis and improved study statistical power through minimised instrumental variation. There follow chapters on 14 specific groups of quantities: proton density, T1, T2, T2*, diffusion, advanced diffusion, magnetisation transfer, CEST, 1H and multi-nuclear spectroscopy, DCE-MRI, quantitative fMRI, arterial spin-labelling and image analysis, and finally a chapter on the future of quantification. The physical principles behind each quantity are stated, followed by its biological significance. Practical techniques for measurement are given, along with pitfalls and examples of clinical applications. This second edition of this indispensable 'how to' manual of quantitative MR shows the MRI physicist and research clinician how to implement these techniques on an MRI scanner to understand more about the biological processes in the patient and physiological changes in healthy controls. Although focussed on the brain, most techniques are applicable to characterising tissue in the whole body. This book is essential reading for anyone who wants to use the gamut of modern quantitative MRI methods to measure the effects of disease, its progression, and its response to treatment. Features: The first edition was awarded the book prize for Radiology by the British Medical Association in 2004 Written by an authority in the field: Professor Tofts has an international reputation for quantification in MRI Gives specific ‘how to’ information for implementation of MRI measurement sequence techniques

Download or read book Quantitative Susceptibility Mapping written by Yi Wang, Ph.d. and published by CreateSpace. This book was released on 2013-07-01 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Applying Machine Learning and Deep Learning for Improved Acquisition Reconstruction and Quantification in MRI written by Enhao Gong and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic Resonance Imaging, MRI, is a powerful imaging modality that is frequently used in both clinical and academic settings. With its advantages of flexibility in signal encoding, we can use MRI to non-invasively visualize various soft-tissue contrasts, showing not only anatomical but also metabolic and functional information. In addition, MRI is a radiation-free modality which makes it favorable in numbers of clinical applications because of the reduced radiation-risk compared with other radiology modalities such as X-ray, Computed Tomography (CT), Positron Emission Tomography (PET) etc. Despite the advantages of MRI techniques, there are still several challenges preventing MRI from becoming more efficient and accessible. First, the scan time for MRI is usually longer than other modalities such as X-ray and CT, since it requires enough measurements to resolve high-quality images for diagnostic tasks. In order to accelerate MRI, various fast-imaging techniques, such as Parallel Imaging (PI) and Compressed Sensing (CS) have been proposed to speed up MRI acquisition using under-sampling. However, it is still unclear what is the best approach to conduct the under-sampling as different under-sampling patterns may result in different reconstruction quality. Second, the reconstruction methods for under-sampled MRI need further improvement. The reconstruction algorithms are formed as nonlinear optimization problems using iterative optimization that can be time-consuming. Fixed and handcrafted penalty terms are usually used to regularize the optimization, which are hard to tune. There are often trade-offs between the speed of the algorithm and the quality of resulting images. In many cases, the imperfect artifact suppression or over-smoothing slows down the clinical adoption of these fast-imaging techniques. Third, MR images are typically not quantitative. Most clinical MRI protocols used nowadays are contrast-weighted sequences, which incorporate the tissue contrasts in qualitative ways. Therefore, the resulting MR images may vary a lot between different protocols and scanners, which makes it very difficult for radiologists to conduct quantitative analysis or longitudinal comparison. In this work, we propose to resolve these remaining challenges to further improve MRI technologies. We utilized state-of-the-art Machine Learning and Deep Learning algorithms to significantly improve these three essential components in MRI: faster acquisition, better reconstruction, and more accurate qualification. Specifically, we firstly propose a machine learning based method to optimize the undersampling pattern for accelerated acquisition. The results, validated on in-vivo multi-contrast brain and prostate MRI datasets, demonstrate that the proposed method can generalize well for different anatomy. It enables efficient (5sec-10sec) and adaptive under-sampling pattern optimization at per-subject/per-scan level, and achieves 30%-50% lower PI+CS reconstruction error at the same acceleration factor. To improve MRI acquisition with a safer protocol and lower contrast dose, a deep learning model is developed to enhance the MRI. The proposed Deep Learning method yielded significant (N=50, p 0.001) improvements over the low-dose (10%) images ( 5dB PSNR gains and > 11.0% SSIM). Ratings on image quality and contrast enhancement are significantly (N=20, p

Download or read book Magnetic Resonance Imaging written by Robert Sigal and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic Resonance Imaging (MRI) is a rapidly evolving technique which is having a significant impact on medical imaging. Only a few years ago, al though Nuclear Magnetic Resonance (NMR) was well known as an important analytical technique in the field of chemical analysis, it was effectively un known in medical circles. Following the initial work of PAUL LAUTERBUR and RAYMOND DAMADIAN in the early 1970s demonstrating that it was possible to use NMR to produce im ages, progress in the medical fields was relatively slow. Recently, however, with the availability of commercial systems, progress has been very rapid, with increasing acceptance of MRI as a basic imaging technique, and the develop ment of exciting new applications. MRI is a relatively complex technique. First, the image depends on many more intrinsic and extrinsic parameters than it does of in techniques like X-ra diography and computed tomography, and secondly, the intrinsic parameters such as T1 and T2 are conceptually complex, involving ideas not usually de scribed in traditional medical imaging courses. In order to produce good MR images efficiently, and to obtain the maximum information from them, it is necessary to appreciate, if not to fully understand, these parameters. Further more, knowledge of how the image is produced helps in appreciating the ori gin of the artifacts sometimes found in MRI due to effects like patient motion and fluid flow.

Download or read book Quantitative MRI of the Spinal Cord written by Julien Cohen-Adad and published by Academic Press. This book was released on 2014-01-16 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative MRI of the Spinal Cord is the first book focused on quantitative MRI techniques with specific application to the human spinal cord. This work includes coverage of diffusion-weighted imaging, magnetization transfer imaging, relaxometry, functional MRI, and spectroscopy. Although these methods have been successfully used in the brain for the past 20 years, their application in the spinal cord remains problematic due to important acquisition challenges (such as small cross-sectional size, motion, and susceptibility artifacts). To date, there is no consensus on how to apply these techniques; this book reviews and synthesizes state-of-the-art methods so users can successfully apply them to the spinal cord. Quantitative MRI of the Spinal Cord introduces the theory behind each quantitative technique, reviews each theory’s applications in the human spinal cord and describes its pros and cons, and suggests a simple protocol for applying each quantitative technique to the spinal cord. Chapters authored by international experts in the field of MRI of the spinal cord Contains “cooking recipes —examples of imaging parameters for each quantitative technique—designed to aid researchers and clinicians in using them in practice Ideal for clinical settings