Perspective in Image-guided Surgery


Book Description

The application of computer-aided planning, navigation and robotics in surgery provides significant advantages due to todayOCOs sophisticated techniques of patient-data visualization in combination with the flexibility and precision of novel robots. Robotic surgery is set to revolutionize surgical procedures. Augmented with 3D image-guidance technology these tools give finer control over sensitive movements in diseased areas and therefore allow more surgical procedures to be performed using minimally invasive techniques. This book provides an overview of new image-guided procedures in all areas of medical application. The proceedings have been selected for coverage in: . OCo Index to Scientific & Technical Proceedings- (ISTP- / ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings). OCo CC Proceedings OCo Engineering & Physical Sciences. OCo CC Proceedings OCo Biomedical, Biological & Agricultural Sciences."







Handbook of Robotic and Image-Guided Surgery


Book Description

Handbook of Robotic and Image-Guided Surgery provides state-of-the-art systems and methods for robotic and computer-assisted surgeries. In this masterpiece, contributions of 169 researchers from 19 countries have been gathered to provide 38 chapters. This handbook is 744 pages, includes 659 figures and 61 videos. It also provides basic medical knowledge for engineers and basic engineering principles for surgeons. A key strength of this text is the fusion of engineering, radiology, and surgical principles into one book. A thorough and in-depth handbook on surgical robotics and image-guided surgery which includes both fundamentals and advances in the field A comprehensive reference on robot-assisted laparoscopic, orthopedic, and head-and-neck surgeries Chapters are contributed by worldwide experts from both engineering and surgical backgrounds







Handbook of Medical Image Processing and Analysis


Book Description

The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries.For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing.Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images




AsiaSim 2013


Book Description

This book constitutes the refereed proceedings of the 13th International Conference on Systems Simulation, Asia Simulation 2013, held in Singapore, in November 2013. The 45 revised full papers presented together with 18 short papers were carefully reviewed and selected from numerous submissions. The papers address issues such as agent based simulation, scheduling algorithms, simulation methods and tools, simulation and visualization, modeling methodology, simulation in science and engineering, high performance computing and simulation and parallel and distributed simulation.







Linear Object Registration for Image-Guided Interventions


Book Description

Purpose: Image-guided interventions rely on registration of images, models, and surgical tools into a common navigation space. Point-set registration is commonly used to perform this registration, but requires well-defined landmark points to be present on these tools. In this thesis, a generalization of point-set registration is proposed to simultaneously register point, line, and plane landmarks present on surgical tools. This facilitates registration when point-set registration is not feasible. Methods: The proposed algorithm first determines correspondences between points, lines, and planes in the coordinate systems using a set of "reference" landmarks, then calculates invariant features in each coordinate frame for an initial registration, and finally optimizes the registration iteratively. Several forms of validation are investigated: registration of simulated data with a known ground-truth registration, phantom registration using a tracked stylus for registration to a model or a volume, and volume registration of a reconstructed ultrasound volume to a model. Validation accuracy is determined by comparison to a known ground-truth registration or using registration quality metrics such as target registration error. Results: For the simulated data experiments, the linear object registration was sufficiently close to the ground-truth registration in all cases given the level of noise. For real registration experiments, in all instances where accurate point-set registration was possible, the linear object registration was equally as accurate, and the difference between the two registrations was less than the fiducial localization error. When accurate point-set registration was not possible, the linear object registration was observed to be more accurate and more precise than point-set registration using approximate landmarks. Conclusion: The proposed linear object registration algorithm is a viable alternative when point-set registration cannot be performed. The algorithm has been developed as an open-source registration tool for practical use as a module for the 3D Slicer platform.




Handbook of Medical Image Computing and Computer Assisted Intervention


Book Description

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention