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Image registration. --- Imaging systems in medicine. --- Medical imaging systems --- Medical instruments and apparatus --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Image processing --- Digital techniques

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In this EBook, we highlight how newly emerging techniques for non-invasive manipulation of the human brain, combined with simultaneous recordings of neural activity, contribute to the understanding of brain functions and neural dynamics in humans. A growing body of evidence indicates that the neural dynamics (e.g., oscillations, synchrony) are important in mediating information processing and networking for various functions in the human brain. Most of previous studies on human brain dynamics, however, show correlative relationships between brain functions and patterns of neural dynamics measured by imaging methods such as electroencephalography (EEG), magnetoencephalography (MEG), near-infrared spectroscopy (NIRS), positron emission tomography (PET) and functional magnetic resonance imaging (fMRI). In contrast, manipulative approaches by non-invasive brain stimulation (NIBS) have been developed and extensively used. These approaches include transcranial magnetic stimulation (TMS) and transcranial electric stimulation (tES) such as transcranial direct current stimulation (tDCS), alternating current stimulation (tACS), and random noise stimulation (tRNS), which can directly manipulate neural dynamics in the intact human brain. Although the neural-correlate approach is a strong tool, we think that manipulative approaches have far greater potential to show causal roles of neural dynamics in human brain functions. There have been technical challenges with using manipulative methods together with imaging methods. However, thanks to recent technical developments, it has become possible to use combined methods such as TMS–EEG coregistration. We can now directly measure and manipulate neural dynamics and analyze functional consequences to show causal roles of neural dynamics in various brain functions. Moreover, these combined methods can probe brain excitability, plasticity and cortical networking associated with information processing in the intact human brain. The contributors to this EBook have succeeded in showcasing cutting-edge studies and demonstrate the huge impact of their approaches on many areas in human neuroscience and clinical applications.

non-invasive brain stimulation NIBS --- TMS-EEG --- Transcranial magnetic stimulation TMS --- transcranial electric stimulation tES --- Coregistration --- Near-infrared spectroscopy NIRS --- Functional magnetic resonance imaging fMRI --- transcranial direct current stimulation tDCS --- transcranial alternating current stimulation tACS --- transcranial random noise stimulation tRNS

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Image registration is the process of finding correspondence between all points in two images of a scene – a process with numerous applications in computer vision and image analysis. This comprehensive text/reference presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Topics and features: Discusses a broad range of image analysis tools, including similarity/dissimilarity measures, point detectors, feature extraction and homogeneous descriptors, and feature selection and heterogeneous descriptors Examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending Covers a large number of image registration methods, such as principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods Provides all images and data used in the book at the website http://www.imgfsr.com/book2.html, enabling the reader to reproduce the results Includes a glossary, an extensive list of references, and an appendix on principal component analysis An excellent reference for courses on image registration, image processing, computer vision, pattern recognition, and image analysis, this unique text/guide is also suitable for image analysis software developers, engineers, and researchers interested in analyzing two or more images of a scene.

Image registration. --- Engineering & Applied Sciences --- Applied Physics --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Computer science. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Informatics --- Science --- Image processing --- Digital techniques --- Computer vision. --- Optical pattern recognition. --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Image registration

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With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration. Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL).  He is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. Dr. El-Baz received his Doctorate from University of Kentucky, Louisville, KY. Rajendra  Acharya U, PhD, DEng is leader in the field of data mining and medical devices.  He received two doctorates: one from National Institute of Technology Karnataka, Surathkal, India and second from Chiba University, Japan. He is a Senior IEEE member and on the editorial board of several journals. Currently, he is visiting faculty at Ngee Ann Polytechnic, Singapore. Andrew Laine is a Director of the Heffner Biomedical Imaging Laboratory in the Department of Biomedical Engineering at Columbia University in New York City and is Professor of Biomedical Engineering and Radiology (Physics).   His research interests include quantitative image analysis; cardiac functional imaging: ultrasound and MRI, retinal imaging, intravascular imaging and biosignal processing. He is a Fellow of AIMBE and IEEE. Dr. Jasjit S. Suri is an innovator, scientist, a visionary, an industrialist and an internationally known world leader in Biomedical Engineering. Dr. Suri has spent over 20 years in the field of biomedical engineering/devices and its management. He received his Doctorate from University of Washington, Seattle and Business Management Sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio.

Computers. --- Nuclear Medicine -- methods. --- Radiography, Medical -- Data processing. --- Radionuclide Imaging. --- Medicine --- Health & Biological Sciences --- Oncology --- Diagnostic imaging --- Image registration. --- Imaging systems in medicine. --- Digital techniques. --- Medical imaging systems --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Digital diagnostic imaging --- Medicine. --- Radiology. --- Image processing. --- Biomedical engineering. --- Biomedicine. --- Biomedicine general. --- Imaging / Radiology. --- Image Processing and Computer Vision. --- Biomedical Engineering. --- Medical instruments and apparatus --- Image processing --- Digital electronics --- Digital techniques --- Radiology, Medical. --- Computer vision. --- Biomedical Engineering and Bioengineering. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Optical data processing. --- Biomedicine, general. --- Health Workforce --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Radiological physics --- Physics --- Radiation --- Optical equipment

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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 third volume includes 82 papers organized in topical sections on computer-aided diagnosis and machine learning, and segmentation.

Engineering & Applied Sciences --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Applied Physics --- Three-dimensional imaging in medicine --- Image processing --- Image registration --- Digital techniques --- Alignment, Image --- Coregistration, Image --- Image alignment --- Image coregistration --- Image matching --- Matching, Image --- Registration, Image --- Computer science. --- Health informatics. --- Radiology. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- Artificial Intelligence (incl. Robotics). --- Imaging / Radiology. --- Health Informatics. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Radiological physics --- Physics --- Radiation --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Informatics --- Science --- Data processing --- Computer vision. --- Optical pattern recognition. --- Radiology, Medical. --- Medical records --- Artificial Intelligence. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Medical care --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment