Effective stroke therapy can be improved through real-time monitoring of the neurological and cardiovascular responses to treatment. This requires crucial knowledge on behalf of both the sonographer and stroke physician to make the best decisions for the patient so as to minimize the damage caused by the original stroke and the risk of further stroke.

"Cerebrovascular Ultrasound in Stroke Prevention and Treatment, Second Edition, " takes a practical approach to the examination of patients, the interpretation of ultrasound studies and the application of cerebrovascular ultrasound in the development of management and treatment studies, assisting neurologists, radiologists, and ultrasonographers in stroke therapy.

Introduces both optical microscopy and medical imaging with an emphasis on recurring themes such as resolution and contrast to reinforce understanding. Includes many illustrations and boxed material that give more detailed explanations. Features hands-on activities and experiments. Provides end-of-chapter problems for self-study. Offers supplementary online materials including a solutions manual.

Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models describes the latest imaging and imag analysis techniques that have been developed at leading centers for the visualization, analysis, and understanding of normal and abnormal cardiac motion with magnetic resonance imaging (MRI). The use of MRI in measuring cardiac motion is particularly important because MRI is non-invasive, and it is the only modality capable of imaging detailed intramural motion within the myocardium. Biomedical engineers, medical physicists, computer scientists, and physicians interested in learning about the latest advances in cardiovascular MRI should find this book to be a valuable educational resource. In particular, it is more tutorial in nature than most of the technical papers where the research was originally published. Practitioners and researchers working in the field of cardiovascular MRI will find the book to be filled with practical technical details and references to other work, enabling the implementation of existing methods and serving as a basis for further research in the area.

This book highlights recent technological advances, reviews and applications in the field of cardiovascular engineering, including medical imaging, signal processing and informatics, biomechanics, as well as biomaterials. It discusses the use of biomaterials and 3D printing for tissue-engineered heart valves, and also presents a unique combination of engineering and clinical approaches to solve cardiovascular problems. This book is a valuable resource for students, lecturers and researchers in the field of biomedical engineering.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

This volume highlights the remarkable new developments in brain imaging, including those that apply magnetic resonance imaging (MRI) and Positron Emission Tomography (PET), that allow us to non invasively study the living human brain in health and in disease. These technological advances have allowed us to obtain new and powerful insights into the structure and function of the healthy brain as it develops across the life cycle, as well as the molecular make up of brain systems and circuits as they develop and change with age. New brain imaging technologies have also given us new insights into the causes of many common brain disorders, including ADHD, schizophrenia, depression and Alzheimer's disease, which collectively affect a large segment of the population. These new insights have major implications for understanding and treating these brain disorders, and are providing clinicians with the first ever set of biomarkers that can be used to guide diagnosis and monitor treatment effects. The advances in brain imaging over the last 20 years, summarized in this volume, represent a major advance in modern biomedical sciences. The Authors of this volume are leaders in the development of PET and MRI methods as well as clinical and translational researchers skilled in their use in patients with brain disorders. Individual chapters of this volume focus on the use of specific methodologies, covering the full range of PET chemistry based approaches as well as MRI methods from structural and diffusion tensor based imaging, to functional MRI of functional brain circuitry, to pharmacological MRI and MRI spectroscopic molecular imaging.

There have been many great advances in the field of biomedical imaging in recent years, with supramolecular chemistry playing a key role in the evolution of modern imaging techniques. Non-covalent supramolecular interactions are fundamental to countless biological processes, from host-guest binding to the stabilisation of complex structures. Supramolecular chemistry techniques can be employed to create probes that can be targeted to either exploit or disrupt these interactions, giving the potential for both diagnostic and therapeutic effects. Furthermore, in techniques such as contrast enhanced MRI, controlling the interactions between solvent molecules and the imaging agent is crucial to the development of the technique. With rapid growth in the synthesis and study of molecular imaging agents, the understanding of their associated techniques has sometimes lagged behind. Supramolecular Chemistry in Biomedical Imaging will fill this gap by clarifying the state of current understanding and the nature of the underlying problems inherent to addressing problems in biology. It will cover both the techniques used in imaging and the molecular and supramolecular systems used to exploit them. This publication targets academics coming to the field from mainstream supramolecular chemistry, research graduates and undergraduates interested in supramolecular chemistry, synthesis or imaging agents and imaging techniques for biomedical applications.

The Comatose Patient, Second Edition, is a critical historical overview of the concepts of consciousness and unconsciousness, covering all aspects of coma within 100 detailed case vignettes. This comprehensive text includes principles of neurologic examination of comatose patients as well as instruction of the FOUR Score coma scale, and also discusses landmark legal cases and ethical problems. As the Chair of Division of Critical Care Neurology at Mayo Clinic, Dr. Wijdicks uses his extensive knowledge to discuss a new practical multistep approach to the diagnosis of the comatose patient. Additionally, this edition includes extensive coverage of the interpretation of neuroimaging and its role in daily practice and decision making, as well as management in the emergency room and ICU. Dr. Wijdicks details long-term supportive care and an appropriate approach to communication with family members about end-of-life decision making.

Sharmila Majumdar In the area of osteoporosis and skeletal changes, it is currently accepted that bone mineral density (BMD), widely used for screening, monitoring and assessing therapeutic efficacy, does not adequately explain the pathogenesis of osteoporosis, the process of aging, or the therapeutic efficacy of various treatments. In this context, trabecular micro- architecture has enormous potential to contribute to understanding the pathophysiology of osteopor.osis and therapy assessment. The use and value of noninvasive imaging and quantitative image analysis and processing of trabecular bone micro-architecture have increased dramatically due to recent advances in instrumentation and software. This emerging field is diverse, interdisciplinary, and encompasses many different imaging modalities. Interested researchers include those involved in technique development, basic science and animal studies, as well as clinical researchers and practicing physicians. With the growth of this area of research, a group of investigators at the 11th Interna- tional Workshop of Bone Densitometry, 1 concluded that a forum dedicated to this matter was urgently needed. With this agenda, Dr. Peter Ruegsegger organized the first sympo- 2 sium on conjunction with the 10th Conference of the European Society of Biomechanics. The symposium on Bone Architecture and Competence was a two-hourlong event which resulted in five chapters in Bone Research and Biomechanics, edited by G. Lowet, P. Ruegsegger, H. Weinans, and A. Meunier, published by lOS Press, 1997. The second symposium was held as a pre-symposium to the 12th Workshop on Bone Denistometry,3 and flourished as a daylong event.

This book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications. Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician's ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice. Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery. This volume serves a broad audience as contributions were written by both clinicians and researchers, which reflects the intended readership as well, being a potentially comprehensive book for all spine related clinicians, technicians, scientists, and graduate students.

The definite treatment ofaortic disorders goes back to the resection ofisthmic coarctation by Clarence Crafoord in 1944. It took another third of a century until all portionsofthe aortabecameaccessible to highly standardized surgery. This progress, delayed as it was in relation to most other cardiovascular in- terventions, depended on the availability of safe protective methods for the heart and central nervous system, of reliable vascular grafts and atraumatic instruments, novel suture material and tissue adhesives. The development ofadvanced surgical techniques went hand in hand with, and depended upon, the emergence of proper diagnostic tools, starting with aortography andultimately culminating inCT-scanning, transesophageal echo- cardiography and magnetic resonance imaging. These tools now allow for the rational planning and conductofany aortic intervention which may be surgical or, more recently, catheter-guided. Nienaber's and Fattori's new book aptly is addressing both the diagnos- tic procedure as well as the treatment of aortic disease. The authors are well known experts in the fields of advanced diagnostics of aortic pathology, both spearheading a remarkably innovative group of aortic interventionalists as well. On account of their expertise, their chapters are able to answer any question rising in conjunction with these subjects.

Prominent physicians review past, current, and future applications of the many powerful imaging techniques now used in the diagnosis, staging, treatment, and outcomes assessment of cancers of the prostate, central nervous system (CNS), and breast. Topics range from the use of screening mammography and approaches to breast cancer detection using MRI to improved visualization of the prostate gland from transrectal ultrasound and MRI, to MRI-guided resection of neoplasms.

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists.

This volume is the fifth in a series on quantitative coronary arteriography (QCA). The following topics, which all currently are and continue to be issues of extensive discussions in the research and clinical communities, are covered in great detail in this volume: endothelial function; comparisons between digital and cine coronary arteriography; inter-laboratory variation between QCA Core Laboratories; the developments in digital archival media; intracoronary pressure, coronary blood flow and flow reserve; quantitative and qualitative features in regression/progression studies; QCA in recanalization studies; and finally the current position of rivalling modalities as coronary angioscopy, intraluminal imaging with ultrasound and fluorescence spectroscopy. This book provides a comprehensive, overview for all clinicians and physicists actively involved or otherwise interested in current developments in quantitative coronary arteriography.

- 'Big' book has sold close to 1400 in just over a year and is maintaining high rate of sale.

- This practical handbook fully explains the essentials of this state-of-the-art technique to radiologists, gastroenterologists, radiology residents, and technologists.

- Makes the key chapters of the big book accessible and affordable to the resident.

Ultrasound Guided Musculoskeletal Procedures in Sports Medicine: A Practical Atlas provides the support practitioners need based on practical, first-hand experience of a Sports and Exercise Medicine Physician who trained in musculoskeletal sonography. Over the years, and with much practice, the lessons learned and techniques developed are summarized with relevant pictures that guide those undertaking the procedure. As musculoskeletal ultrasound forms an important tool for physicians working in this field of medicine, this book helps physicians provide increasing expectation for patients who want a safe, guided procedure when clinically warranted. While an understanding of ultrasound imaging is essential prior to ultrasound guided procedures, there are few practical guides that provide practicing clinicians with a quick reference when faced with a procedure. This book fills that void.

This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 - IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

In the past few years it has become clear that left ventricular dysfunction, even of severe degree, may be reversible after coronary revascularization in some patients. As a result, myocardial viability has captured the imagination of researchers and clinicians seeking to unravel the cellular and subcellular mechanisms and define appropriate diagnostic modalities. These diagnostic modalities include: cardiac catheterization, positron-emission tomography, magnetic resonance imaging, two-dimensional echocardiography and single-photon imaging. This book brings together a diverse array of information in a comprehensive and concise fashion using a template of 10 chapters written by experts in the field. It should be of value to cardiologists, radiologists, nuclear medicine specialists, cardiac surgeons, anesthesiologists, internists and basic researchers and their trainees who are involved in the management of patients with coronary artery disease in whom myocardial viability is a clinically relevant issue.

The discovery of the x-ray in 1895 proved to be one of the most transformative breakthroughs in the history of science. It ushered in a new era in medicine, allowing physicians and patients to peer inside the living human body, without the use of a scalpel, to assess health and diagnose diseases. The x-ray opened up the world of the very small, allowing us to determine the structure of the molecules of which we are made. It also revealed the true nature of the largest and oldest objects in the universe, including the universe itself. Today it has spawned amazing new imaging techniques, including ultrasound, CT scanning, MR imaging, and nuclear medicine, which have opened up remarkable new windows on the structure and function of the human body. This book recounts the stories of the remarkable physicians and scientists who developed these new imaging technologies. It tells the stories of real patients whose lives have been touched, transformed, and in many cases saved by medical imaging. And it shines new light on the surprising ways x-rays have transformed our view of ourselves and the world we inhabit. Richly illustrated with both historical images and imaging studies of real patients, X-ray Vision is a feast for the eyes as well as the mind.