Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications, Belkic, Dzevad
Автор: Thomas Lindblad; Jason M. Kinser Название: Image Processing using Pulse-Coupled Neural Networks ISBN: 364236876X ISBN-13(EAN): 9783642368769 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.
Описание: Addressing the critical need in clinical oncology for robust and stable signal processing in MRS, this book explores cutting-edge theory-based innovations for obtaining reliable quantitative information from MR signals for cancer diagnostics. By defining the natural framework of signal processing using the well-established theory of quantum phys
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: 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: 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.
Автор: Buonincontri, Guido Kaggie, Joshua Graves, Martin Название: Fast Quantitative Magnetic Resonance Imaging ISBN: 3031005392 ISBN-13(EAN): 9783031005398 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Bert Lenaerts; Robert Puers Название: Omnidirectional Inductive Powering for Biomedical Implants ISBN: 9048180627 ISBN-13(EAN): 9789048180622 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook on inductive link design investigates the feasibility of inductive powering for capsule endoscopy and freely moving systems in general. It is the only existing analysis on 3D inductive powering systems.
Автор: Edited By Varun Bajaj, G. R. Sinha, Chinmay Chakra Название: Biomedical Signal Processing for Healthcare Applications ISBN: 0367707543 ISBN-13(EAN): 9780367707545 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Sandro Augusto Pavlik Haddad; Wouter A. Serdijn Название: Ultra Low-Power Biomedical Signal Processing ISBN: 9048180619 ISBN-13(EAN): 9789048180615 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a novel method for implementing signal processing based on WT in an analog way. The book offers a structured approach to filter design, starting from an arbitrary transfer function or impulse response, down to the actual circuit design.
Описание: This book presents the cutting-edge technologies of knee joint vibroarthrographic signal analysis for the screening and detection of knee joint injuries. The book is well-suited for all researchers looking to better understand knee joint biomechanics and the advanced technology for vibration arthrometry.
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