This critical volume focuses on the use of medical imaging, medical robotics, simulation, and information technology in surgery. Part I discusses computational surgery and disease management and specifically breast conservative therapy, abdominal surgery for cancer, vascular occlusive disease and trauma medicine. Part II covers the role of image processing and visualization in surgical intervention with a focus on case studies. Part III presents the important role of robotics in image driven intervention. Part IV provides a road map for modeling, simulation and experimental data. Part V deals specifically with the importance of training in the computational surgery area.

The future of surgery is intrinsically linked to the future of computational sciences: the medical act will be computer assisted at every single step, from planning to post-surgery recovery and through the surgical procedure itself. Looking back at the history of surgery, surgery practice has changed drama- cally with the extensive use of revolutionary techniques, such as medical imaging, laparoscopy, endoscopy, sensors and actuators, and robots. This trend is dependent on the use of computer processing, computational method, and virtualization. Computational surgery will not only improve the ef?ciency and quality of surgery, but will also give new access to very complex operations that require extreme precision and minimum intrusion. Such examples are today’s inoperable cancer tumors that have invaded critical tissues or nervous centers. In order for this milestone to be reached quicker and more ef?ciently, surgeons will have to become very familiar with computing methods, such as image analysis, augmented re- ity, and/or robotics. It will be critical for surgeons to assimilate computers in their training, understand how computers work, understand the limitations/advantages of these computer tools, and be able to interpret computer imaging and simulations.

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

This book constitutes the refereed proceedings of the International Workshop on Augemented Environments for Computer-Assisted Interventions, held in conjunction with MICCAI 2012, in Nice, France in September 2012. The 16 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers cover the topics of image registration and fusion, calibration, visualization and 3D perception, hardware and optical design, real-time implementation, as well as validation, clinical applications, and clinical evaluation.

Are you interested in using NOTES to treat your patients? Do you need a multimedia tool to guide you through all aspects of clinical management? Just as laparoscopic surgery revolutionized surgical practice in the 1980’s and 90’s, offering genuine competition to traditional open surgery, Natural Orifice Translumenal Endoscopic Surgery (NOTES) presents a genuinely different alternative for surgeons and patients alike as we move forward in the 21st century. Advantages over laparoscopic surgery include lower anesthesia requirements, faster recovery and shorter hospital stays, avoidance of transabdominal wound infections, less immunosuppression, better postoperative pulmonary and diaphragmatic function and of course, the potential for "scarless" abdominal surgery. Combining high-level text with a superb companion website, Natural Orifice Translumenal Endoscopic Surgery (NOTES): Textbook and Video-Atlas provides you with a hands-on, in-depth and practical multimedia tool on this exciting breakthrough, to consult either on the ward or in surgery. Highlights include: Full coverage of the fundamentals of NOTES, its current clinical applications and techniques, and future perspectives Over 50 outstanding videos illustrating NOTES being performed by the experts Full-color throughout and superbly illustrated with over 250 figures Edited by global leaders and pioneers in the field, who have recruited a world-class contributor team As well being a valuable text for gastroenterologists, GI surgeons and general surgeons, Natural Orifice Translumenal Endoscopic Surgery (NOTES): Textbook and Video-Atlas will also appeal to urologists, urologic surgeons, gynecologists, gynecologic surgeons, thoracic and ENT surgeons.

Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing why and not just how. Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.