Описание: This volume describes the task of developing high critical temperature superconducting quantum interference devices and using them as sensors for biomedical applications, including magnetic immunoassays, magnetoencephalography and MRI.
Автор: Whitman Название: Digital Mammography ISBN: 052176372X ISBN-13(EAN): 9780521763721 Издательство: Cambridge Academ Рейтинг: Цена: 14571.00 р. Наличие на складе: Поставка под заказ.
Описание: Digital mammography has many advantages over film-screen mammography, including faster acquisition, easier storage and easier retrieval of images. Written by expert radiologists and physicists, Digital Mammography: A Practical Approach compares digital mammography to conventional film-screen mammography, reviews clinical cases and explores newer modalities. Key topics include: • Digital detectors • Monitors • Image acquisition • Image storage, retrieval and transfer • Image interpretation and efficacy • Artifacts • A comparison of commercially available systems • Mobile digital mammography. An image atlas and sections on digital tomosynthesis and computed tomography of the breast enhance the text. Digital Mammography: A Practical Approach melds the worlds of clinical radiology and physics in an easy-to-understand, practical resource. A valuable addition to the shelf of radiologists, radiologic technicians, practising medical physicists and mammography technologists; and any practitioners developing and expanding digital mammography programs.
Автор: Richard Ansorge, Martin Graves Название: The Physics and Mathematics of MRI ISBN: 1681749149 ISBN-13(EAN): 9781681749143 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11286.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides both an in depth account of the methods used for the operation and construction of modern MRI systems and also the principles of sequence design and many examples of applications. An important additional feature of the book is the detailed discussion of the mathematical principles used in building optimal MRI systems and for sequence design.
Автор: Hadi Heidari, Vahid Nabaei Название: Magnetic Sensors for Biomedical Applications ISBN: 1119552176 ISBN-13(EAN): 9781119552178 Издательство: Wiley Рейтинг: Цена: 15198.00 р. Наличие на складе: Поставка под заказ.
Описание: An important guide that reviews the basics of magnetic biosensor modeling and simulation Magnetic Sensors for Biomedical Applications offers a comprehensive review of magnetic biosensor modelling and simulation. The authors--noted experts on the topic--explore the model's strengths and weaknesses and discuss the competencies of different modelling software, including homemade and commercial (for example Multi-physics modelling software). The section on sensor materials examines promising materials whose properties have been used for sensing action and predicts future smart-materials that have the potential for sensing application.
Next, the authors present classifications of sensors that are divided into different sub-types. They describe their working and highlight important applications that reveal the benefits and drawbacks of relevant designs. The book also contains information on the most recent developments in the field of each sensor type.
This important book: Provides an even treatment of the major foundations of magnetic biosensorsPresents problem solution methods such as analytical and numericalExplains how solution methods complement each other, and offers information on their materials, design, computer aided modelling and simulation, optimization, and device fabricationDescribes modeling work challenges and solutions Written for students in electrical and electronics engineering, physics, chemistry, biomedical engineering, and biology, Magnetic Sensors for Biomedical Applications offers a guide to the principles of biomagnetic sensors, recent developments, and reveals the impact of sensor modelling and simulation on magnetic sensors.
Автор: Jara Hernan Название: Theory of Quantitative Magnetic Resonance Imaging ISBN: 981429523X ISBN-13(EAN): 9789814295239 Издательство: World Scientific Publishing Рейтинг: Цена: 8870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: qMRI is a scientific field of high interest because it has the potential of radically changing the clinical and research practices of magnetic resonance imaging (MRI). This title focuses on the theoretical aspects of qMRI. It presents the topics by focusing on theoretical unification and mathematical uniformity.
Автор: Guido Buonincontri, Joshua Kaggie, Martin Graves Название: Fast Quantitative Magnetic Resonance Imaging ISBN: 1681736969 ISBN-13(EAN): 9781681736969 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11365.00 р. Наличие на складе: Нет в наличии.
Описание: 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.
Автор: Guido Buonincontri, Joshua Kaggie, Martin Graves Название: Fast Quantitative Magnetic Resonance Imaging ISBN: 1681736942 ISBN-13(EAN): 9781681736945 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8593.00 р. Наличие на складе: Нет в наличии.
Описание: 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.
Описание: Addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.
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