Quantitative Imaging for Clinical Decisions
Author | : Nandita Maria deSouza |
Publisher | : Frontiers Media SA |
Total Pages | : 124 |
Release | : 2022-08-19 |
Genre | : Medical |
ISBN | : 2889746763 |
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Author | : Nandita Maria deSouza |
Publisher | : Frontiers Media SA |
Total Pages | : 124 |
Release | : 2022-08-19 |
Genre | : Medical |
ISBN | : 2889746763 |
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 | : Luis Martí-Bonmatí |
Publisher | : Springer |
Total Pages | : 313 |
Release | : 2016-11-03 |
Genre | : Medical |
ISBN | : 3319435043 |
This is the first book to cover all aspects of the development of imaging biomarkers and their integration into clinical practice, from the conceptual basis through to the technical aspects that need to be considered in order to ensure that medical imaging can serve as a powerful quantification instrument capable of providing valuable information on organ and tissue properties. The process of imaging biomarker development is considered step by step, covering proof of concept, proof of mechanism, image acquisition, image preparation, imaging biomarker analysis and measurement, detection of measurement biases (proof of principle), proof of efficacy and effectiveness, and reporting of results. Sources of uncertainty in the accuracy and precision of measurements and pearls and pitfalls in gold standards and biological correlation are discussed. In addition, practical use cases are included on imaging biomarker implementation in brain, oncologic, cardiovascular, musculoskeletal, and abdominal diseases. The authors are a multidisciplinary team of expert radiologists and engineers, and the book will be of value to all with an interest in the quantitative imaging of biomarkers in personalized medicine.
Author | : Jiajing Xu |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : |
ISBN | : |
A crucial challenge for radiology is maintaining high interpretation accuracy in the face of increasing imaging workload and limited time to review and interpret the images for each patient. Variation in interpretation accuracy among radiologists is a recognized challenge. Two techniques that could help radiologists improve their interpretation are Content-based Image Retrieval (CBIR) for diagnostic support, and lesion size tracking for evaluating response to treatment. CBIR provides assists radiologists to find images from a database that are similar in terms of shared imaging features to the images they are interpreting. The performance of CBIR hinges critically on features that characterize lesions. In the first half of the talk, I will focus on the development of a novel quantitative imaging feature that describes the margin characteristics of lesions. This new margin sharpness feature is robust to variation in lesion segmentation, and achieves excellent CBIR performance in clinical datasets. Tracking lesion size in response to treatment is a crucial component for patient management as well as towards finding the best cancer therapy through clinical trials. Traditionally, tracking lesion size using serial Computed Tomography (CT) scans is largely a manual and tedious process. In the second half of the talk, I will present a novel method to automatically track and segment lymph nodes in serial CT scans. My method has achieved excellent overall segmentation performance compared to manual segmentation provided by radiologists. Ultimately, I envision that the translation of both of the above methods to the clinic will improve diagnostic accuracy, precision, and efficiency.
Author | : David A. Clunie |
Publisher | : PixelMed Publishing |
Total Pages | : 396 |
Release | : 2000 |
Genre | : Communication in medicine |
ISBN | : 0970136900 |
Author | : International Atomic Energy Agency |
Publisher | : |
Total Pages | : 59 |
Release | : 2014 |
Genre | : Medical |
ISBN | : 9789201415103 |
This publication reviews the current state of the art of image quantification and provides a solid background of tools and methods to medical physicists and other related professionals who are faced with quantification of radionuclide distribution in clinical practice. It describes and analyses the physical effects that degrade image quality and affect the accuracy of quantification, and describes methods to compensate for them in planar, single-photon emission computed tomography (SPECT) and positron emission tomography (PET) images.
Author | : Robert J. Nordstrom |
Publisher | : |
Total Pages | : 170 |
Release | : 2021 |
Genre | : SCIENCE |
ISBN | : 9780735423466 |
Quantitative Imaging in Medicine: Background and Basics presents the foundations and theoretical building blocks of a topic that is rapidly emerging as one of the most important in medical research and clinical imaging. This timely book provides a thorough introduction to the standards and tools of quantitative imaging. It is the first book-length compendium to address different imaging modalities focusing on the clinical adaption of novel imaging methods. This important book: -- Presents the history, clinical need, and clinical validation of quantitative imaging -- Integrates discussions of QIBA, RECIST, clinical pipelines, phantoms, site qualification, radiomics, and artificial intelligence -- Provides ample reference lists to guide readers to an even deeper understanding of this very broad topic Radiologists, oncologists, imaging scientists, and computer scientists will find this book invaluable. It also serves as a comprehensive resource for teaching the fundamentals to trainees in radiology, medical physics, and imaging studies. (Description taken from publisher website).
Author | : Nancy A. Obuchowski |
Publisher | : John Wiley & Sons |
Total Pages | : 224 |
Release | : 2015-12-29 |
Genre | : Medical |
ISBN | : 1118849566 |
Handbook for Clinical Trials of Imaging and Image-Guided Interventions is the first single-source, multi-disciplinary reference, based on the didactic sessions presented at the annual ‘Clinical Trials Methodology Workshop’ for radiologists, radiation oncologists and imaging scientists (sponsored by the Radiological Society of North America (RSNA)). It focuses on educating radiologists, radiation oncologists and those involved in imaging research with how to design and conduct clinical trials to evaluate imaging technology and imaging biomarkers. The internationally renowned contributors take a broad approach, starting with principles of technology assessment, and then move into specific topics covering the clinical trials of therapy and clinical research in imaging guided interventions including radiotherapy. They discuss the use of imaging as a predictor of therapeutic response, screening trial design, and the practicalities of how to run an efficient clinical trial and good working practices. Later chapters provide a comprehensive array of quantitative methods including: an introduction to statistical considerations in study design, biostatistical analysis methods and their role in clinical imaging research, methods for quantitative imaging biomarker studies, and an introduction to cost effectiveness analysis. Handbook for Clinical Trials of Imaging and Image-Guided Interventions will educate and prepare radiologists at all levels and in all capacities in planning and conducting clinical imaging trials.
Author | : Aarthi Ramlaul |
Publisher | : Springer Nature |
Total Pages | : 427 |
Release | : 2020-03-23 |
Genre | : Medical |
ISBN | : 3030379442 |
This exciting new book equips radiography students and practitioners with the key skills and strategies required to undertake research within medical imaging and radiotherapy and to disseminate the research findings effectively. Quantitative and qualitative research methods are covered, with guidance provided on the entire research process, from literature researching, information management and literature evaluation through to data collection, data analysis, and writing up. Attention is drawn to sampling errors and other potential sources of bias, and the conduct of randomized controlled trials, systematic reviews, and meta-analyses are clearly explained. Specific instruction is given on the structure and presentation of dissertations, writing journal articles for publication, and the dissemination of research findings at conferences. Information on patient and public involvement in research and research funding bodies are also provided with advice on how to maximize the likelihood of success when submitting applications for funding.
Author | : Alex A.T. Bui |
Publisher | : Springer Science & Business Media |
Total Pages | : 454 |
Release | : 2009-12-01 |
Genre | : Technology & Engineering |
ISBN | : 1441903852 |
Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.