This book presents fundamental requirements, electrical specification, and parameter tradeoffs of wearable EEG acquisition circuits, especially those compatible with dry electrodes for user-friendly recordings. The authors introduce active electrode, the most promising solution for dry electrodes-based EEG measurement. This architectural concept has been combined with various, innovative circuit design techniques to illustrate structured IC design methodologies for high performance EEG recording. This book also gives examples on the design, implementation and evaluation of three generations of active electrode ICs.

The three-volume set LNCS 6891, 6892 and 6893 constitutes the refereed proceedings of the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011, held in Toronto, Canada, in September 2011. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 819 submissions for presentation in three volumes. The second volume includes 83 papers organized in topical sections on diffusion weighted imaging, fMRI, statistical analysis and shape modeling, and registration.

Die moderne endokrine Chirurgie arbeitet eng mit Internisten, Nuklearmedizinern und Pathologen zusammen. In dem Band sind alle chirurgisch relevanten Erkrankungen der endokrinen Organe umfassend dargestellt: von der Physiologie und Pathophysiologie der endokrinen Regelkreise uber Diagnostik und interdisziplinare Therapie bis hin zu detaillierten Empfehlungen zum Vorgehen und zur Verfahrenswahl. Die Beitrage wurden von renommierten Autoren der jeweiligen Fachgebiete verfasst und fur die 3. Auflage auf den aktuellen wissenschaftlichen Stand gebracht."

Spontaneous resting-state fluctuations in neuronal activity offer insights into the inherent organization of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsic functional connectivity networks, which are identified based on similarities in the signal measured from different brain regions. From data acquisition to interpretation of results, Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without requiring any previous knowledge of resting state fMRI, making it highly accessible to readers from a broad range of backgrounds. Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, this primer provides a practical and approachable introduction for those new to the field of resting state fMRI. The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a thorough understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition and interpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.

The advent of non-invasive imaging technology, such as magnetic resonance imaging (MRI), has allowed biologists and clinicians to make great strides in unraveling the secrets of the brain. In Magnetic Resonance Neuroimaging: Methods and Protocols, expert researchers in the field provide a comprehensive collection of experimental MRI protocols that can be used to non-invasively interrogate the healthy and diseased brain. The chapters are divided into general techniques, such as the measurement of relaxivity, magnetic resonance spectroscopy, diffusion tensor imaging, and MR reporter genes, as well as specific applications in brain imaging, for example, phenotyping transgenic animals, detecting amyloid plaques, and fMRI in psychiatry. As a volume in the highly successful Methods in Molecular Biology(TM) series, this work contains the type of detailed description and implementation advice that is crucial for getting optimal results. Thorough and cutting-edge, Magnetic Resonance Neuroimaging: Methods and Protocols serves neuroscientists, clinical neurologists, psychiatrists, and radiologists with an excellent compendium of methods easily applied to both animal and human studies and certain to be an excellent resource for translational research.

This text covers everything from the basic x-ray photon interactions of CT to scheduling patients and properly organizing and displaying protocols. After reading this book, radiologists should have enough confidence to suggest changes to their CT protocol optimization teams. Likewise, non-radiology practitioners who use CT as part of their practice (e.g., radiation therapy physicist/ oncologists, cardiologists, dentists, surgeons, researchers, etc.) will find this text useful in getting better image quality from their equipment. This text doesn’t shy away from comparing features from different vendors. Providing vendor-specific information allows one to gain real-world insight into MDCT scanner reconstruction and AEC operation.

It is now possible to witness human brain activity while we are talking, reading, or thinking, thanks to revolutionary neuroimaging techniques like magnetic resonance imaging (MRI). These groundbreaking advances have opened infinite fields of investigation--into such areas as musical perception, brain development in utero, and faulty brain connections leading to psychiatric disorders--and have raised unprecedented ethical issues. In "Looking Inside the Brain," one of the leading pioneers of the field, Denis Le Bihan, offers an engaging account of the sophisticated interdisciplinary research in physics, neuroscience, and medicine that have led to the remarkable neuroimaging methods that give us a detailed look into the human brain.

Introducing neurological anatomy and physiology, Le Bihan walks readers through the historical evolution of imaging technology--from the X-ray and CT scan to the PET scan and MRI--and he explains how neuroimaging uncovers afflictions like stroke or cancer and the workings of higher-order brain activities, such as language skills. Le Bihan also takes readers on a behind-the-scenes journey through NeuroSpin, his state-of-the-art neuroimaging laboratory, and goes over the cutting-edge scanning devices currently being developed. Considering what we see when we look at brain images, Le Bihan weighs what might be revealed about our thoughts and unconscious, and discusses how far this technology might go in the future.

Beautifully illustrated in color, " Looking Inside the Brain" presents the trailblazing story of the scanning techniques that provide keys to previously unimagined knowledge of our brains and our selves.

This textbook, intended for advanced undergraduate and graduate students, is an introduction to the physical and mathematical principles used in clinical medical imaging. The first two chapters introduce basic concepts and useful terms used in medical imaging and the tools implemented in image reconstruction, while the following chapters cover an array of topics such as physics of x-rays and their implementation in planar and computed tomography (CT) imaging; nuclear medicine imaging and the methods of forming functional planar and single photon emission computed tomography (SPECT) images and Clinical imaging using positron emitters as radiotracers. The book also discusses the principles of MRI pulse sequencing and signal generation, gradient fields, and the methodologies implemented for image formation, form flow imaging and magnetic resonance angiography and the basic physics of acoustic waves, the different acquisition modes used in medical ultrasound, and the methodologies implemented for image formation and flow imaging using the Doppler Effect. By the end of the book, readers will know what is expected from a medical image, will comprehend the issues involved in producing and assessing the quality of a medical image, will be able to conceptually implement this knowledge in the development of a new imaging modality, and will be able to write basic algorithms for image reconstruction. Knowledge of calculus, linear algebra, regular and partial differential equations, and a familiarity with the Fourier transform and it applications is expected, along with fluency with computer programming. The book contains exercises, homework problems, and sample exam questions that are exemplary of the main concepts and formulae students would encounter in a clinical setting.

This book provides a state-of-the-art overview of the combined use of imaging modalities to obtain important functional and morphological information on intravascular disease and enhance disease detection. It discusses the integration of intravascular ultrasound (IVUS, intravascular optical coherence tomography (OCT), intravascular photoacoustic imaging (IVPA) and acoustic radiation force optical coherence elastography (ARF-OCE), and introduces the integration of multimodality imaging systems, such as IR and florescence. It includes the latest research advances and numerous imaging photos to offer readers insights into current intravascular applications. It is a valuable resource for students, scientists and physicians wanting to gain a deeper understanding of multimodality imaging tools.

With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.