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Med-books.by - Библиотека медицинской литературы » Материалы за 18.08.2017

Ultrasound Imaging - Medical Applications - Minin I., Minin O. - 2011 год - 342 с.



Ultrasound Imaging - Medical Applications - Minin I., Minin O. - 2011 год - 342 с.

This book provides an overview of ultrafast ultrasound imaging, 3D high-quality ultrasonic imaging, correction of phase aberrations in medical ultrasound images, etc. Several interesting medical and clinical applications areas are also discussed in the book, like the use of three dimensional ultrasound imaging in evaluation of Asherman's syndrome, the role of 3D ultrasound in assessment of endometrial receptivity and follicular vascularity to predict the quality oocyte, ultrasound imaging in vascular diseases and the fetal palate, clinical application of ultrasound molecular imaging, Doppler abdominal ultrasound in small animals and so on.

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Imaging Trauma and Polytrauma in Pediatric Patients - Miele Vittorio, Trinci Margherita - 2015 год



Imaging Trauma and Polytrauma in Pediatric Patients - Miele Vittorio, Trinci Margherita - 2015 год

Over the past two decades, there has been a change in the conception of emergency and trauma radiology. The increasing awareness that appropriate and rapid therapeutic action in life-threatening situations result from the skillful interpretation of emergency radiologists in dedicated radiology facilities has led to the identifi cation of emergency radiology as distinct specialty of diagnostic imaging. Cross-sectional imaging with computed tomography (CT), ultrasound (US) and magnetic resonance imaging (MRI) plays a pivotal role in the evaluation of trauma patients, especially in the pediatric population in which particular attention is to be given to the patient’s triage, indication to imaging, scanning protocols and radiation dose exposure. Actually, if there is no doubt that high energy traumas and deceleration injuries demand an accurate multi-organ evaluation with CT imaging, in everyday practice most children come to our observation with bruises and “low energy traumas” following sports activity at school or at home. In these cases, the first diagnostic approach is not (and cannot be!) CT, but X-rays and US whose diagnostic accuracy is highly improved thanks to the use of contrast agents (CEUS).
This book comes from the deep knowledge and extensive experience acquired on a daily basis by a group of dedicated radiologists, highly attentive to all aspects of trauma radiology in the pediatric population. Thus, the book covers from patient’s management to the technical aspects of each single modality in their appropriate clinical context, passing through US and MRI of musculoskeletal injuries, child abuse and medico-legal issues.

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Pattern Recognition and Signal Analysis in Medical Imaging - Meyer-Baese A., Schmid V. - 2014 год



Pattern Recognition and Signal Analysis in Medical Imaging - Meyer-Baese A., Schmid V. - 2014 год

Medical imaging is today becoming one of the most important visualization and interpretation methods in biology and medicine. The past decade has witnessed a tremendous development of new, powerful instruments for detecting, storing, transmitting, analyzing, and displaying images. These instruments are greatly amplifying the ability of biochemists, biologists, medical scientists, and physicians to see their objects of study and to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. An awareness of the power of computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques for the problems of medicine. The most challenging aspect in medical imaging lies in the development of integrated systems for the use in the clinical sector. Design, implementation, and validation of complex medical systems require not solely medical expertise but also a tight collaboration between physicians and biologists, on the one hand, and engineers and physicists, on the other.

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The chemistry of contrast agents in medical magnetic resonance imaging - Merbach A.S., Helm L., Tóth E. - 2013 год



The chemistry of contrast agents in medical magnetic resonance imaging - Merbach A.S., Helm L., Tóth E. - 2013 год

Magnetic Resonance Imaging (MRI) is one of the most important tools in clinical diagnostics and biomedical research. The number of MRI scanners operating around the world is estimated to be approximately 20,000, and the development of contrast agents, currently used in about a third of the 50 million clinical MRI examinations performed every year, has largely contributed to this significant achievement.
This completely revised and extended second edition:
Includes new chapters on targeted, responsive, PARACEST and nanoparticle MRI contrast agents.
Covers the basic chemistries, MR physics and the most important techniques used by chemists in the characterization of MRI agents from every angle from synthesis to safety considerations.
Is written for all of those involved in the development and application of contrast agents in MRI.
Presented in colour, it provides readers with true representation and easy interpretation of the images.

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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Menze B., Langs G., Tu Z., Criminisi A.



Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Menze B., Langs G., Tu Z., Criminisi A.

The Workshop on Medical Computer Vision (MICCAI-MCV 2010) was held in conjunction with the 13th International Conference on Medical Image Computing and Computer – Assisted Intervention (MICCAI 2010) on September 20, 2010 in Beijing, China. The one-day workshop focused on recognition techniques and applications in medical imaging. The participants discussed principled approaches that go beyond the limits of current model-driven image analysis, which are provably efficient and scalable, and which generalize well to previously unseen images. It included emerging applications that go beyond the analysis of individual clinical studies and specific diagnostic tasks – a current focus of many computational methods in medical imaging.

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Quantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters - Meiburger K.M. - 2017 год



Quantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters - Meiburger K.M. - 2017 год

The works in this book can be divided into two macro areas: (1) morphological vascular studies based on the development of quantitative imaging techniques for the use with clinical B-mode ultrasound images, and (2) preclinical architectural vascular studies based on quantitative imaging techniques for ultrasound and photoacoustics.

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Index of Medical Imaging - McConnell J. - 2011 год - 347 с.



Index of Medical Imaging - McConnell J. - 2011 год - 347 с.

The book is the must-have companion for diagnostic radiography students and newly qualified imaging practitioners, designed to allow easy access to descriptions and discussions of many aspects of medical imaging such as radiographic projections, positioning, procedures and clinical examinations.
The Index consists of multiple lists, tables and discussions linked to (amongst others) radiography, CT, MRI and components such as radiological contrast agents, responses to contrast reactions, MRI safety. There is a glossary of terms and definitions plus a list of abbreviations that may be encountered within radiology. Tables are given that suggest the order and type of examination that should be performed as defined by the UK Royal College of Radiologists.

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From Basic Cardiac Imaging to Image Fusion: Core Competencies Versus Technological Progress - Marzullo P., Mariani G. - 2013 год



From Basic Cardiac Imaging to Image Fusion: Core Competencies Versus Technological Progress - Marzullo P., Mariani G. - 2013 год

The recent development of three-dimensional imaging techniques has provided an enormous amount of information relevant to the clinical management of patients at low and high risk for coronary artery disease. However, while progress in each individual technique has been rapid, the correlation of findings obtained with radiology, nuclear medicine, and magnetic resonance imaging is still relatively neglected. In this book, qualified experts in cardiac imaging present the basic concepts of cardiac pathology and imaging and compare the findings obtained in particular subspecialties with those acquired using other techniques. In this way the reader will learn how images and techniques can be integrated in clinical practice to the benefit of the patient. In addition, it is explained how appropriate multimodality integration can reduce the patient's exposure to ionizing radiation. Physicians ranging from cardiac surgeons to internal medicine specialists and even public health administrators will find this book invaluable in understanding the role of hybrid cardiac imaging.

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Biomedical Imaging - Mao Y. - 2010 год - 108 с.



Biomedical Imaging - Mao Y. - 2010 год - 108 с.

Biomedical imaging is becoming an indispensable branch within bioengineering. This research field has recent expanded due to the requirement of high-level medical diagnostics and rapid development of interdisciplinary modern technologies. This book is designed to present the most recent advances in instrumentation, methods, and image processing as well as clinical applications in important areas of biomedical imaging. This book provides broad coverage of the field of biomedical imaging, with particular attention to an engineering viewpoint.
Chapter one introduces a 3D volumetric image registration technique. The foundations of the volumetric image visualization, classification and registration are discussed in detail. Although this highly accurate registration technique is established from three phantom experiments (CT, MRI and PET/CT), it applies to all imaging modalities. Optical imaging has recently experienced explosive growth due to the high resolution, noninvasive or minimally invasive nature and cost-effectiveness of optical coherence modalities in medical diagnostics and therapy. Chapter two demonstrates a fiber catheter-based complex swept-source optical coherence tomography system. Swept-source, quadrature interferometer, and fiber probes used in optical coherence tomography system are described in details. The results indicate that optical coherence tomography is a potential imaging tool for in vivo and real-time diagnosis, visualization and treatment monitoring in clinic environments. Brain computer interfaces have attracted great interest in the last decade.

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Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging - Maji P., Pal S.K. - 2012 год



Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging - Maji P., Pal S.K. - 2012 год

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing
Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection.
Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as:
Soft computing in pattern recognition and data mining
A Mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set
Selection of non-redundant and relevant features of real-valued data sets
Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis
Segmentation of brain MR images for visualization of human tissues
Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

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