Computational Radiology For Orthopaedic Interventions
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| Author | : Guoyan Zheng |
| Publisher | : Springer |
| Total Pages | : 378 |
| Release | : 2015-09-10 |
| Genre | : Technology & Engineering |
| ISBN | : 331923482X |
This book provides a cohesive overview of the current technological advances in computational radiology, and their applications in orthopaedic interventions. Contributed by the leading researchers in the field, this volume covers not only basic computational radiology techniques such as statistical shape modeling, CT/MRI segmentation, augmented reality and micro-CT image processing, but also the applications of these techniques to various orthopaedic interventional tasks. Details about following important state-of-the-art development are featured: 3D preoperative planning and patient-specific instrumentation for surgical treatment of long-bone deformities, computer assisted diagnosis and planning of periacetabular osteotomy and femoroacetabular impingement, 2D-3D reconstruction-based planning of total hip arthroplasty, image fusion for computer-assisted bone tumor surgery, intra-operative three-dimensional imaging in fracture treatment, augmented reality based orthopaedic interventions and education, medical robotics for musculoskeletal surgery, inertial sensor-based cost-effective surgical navigation, and computer assisted hip resurfacing using patient-specific instrument guides. Edited and authored by leading researchers in the field, this work is an essential reference for biomedical engineers, computer scientists and orthopaedic surgeons to develop or use computational radiology approaches for orthopaedic surgery and interventions.
| Author | : S. Kevin Zhou |
| Publisher | : Academic Press |
| Total Pages | : 1074 |
| Release | : 2019-10-18 |
| Genre | : Computers |
| ISBN | : 0128165863 |
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
| Author | : Deepika Koundal |
| Publisher | : Academic Press |
| Total Pages | : 324 |
| Release | : 2020-05-28 |
| Genre | : Computers |
| ISBN | : 0128204117 |
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. - Covers various challenges and common research issues related to biomedical image analysis - Describes advanced computational approaches for biomedical image analysis - Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. - Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization - Explores cloud based medical imaging together with medical imaging security and forensics
| Author | : Nobuhiko Sugano |
| Publisher | : Springer |
| Total Pages | : 203 |
| Release | : 2018-04-10 |
| Genre | : Medical |
| ISBN | : 981105245X |
This book focuses on two major areas in the field of computer assisted orthopaedic surgery (CAOS): hip and knee surgery. It reviews the current clinical status of the various CAOS tools for hip and knee arthroplasty, osteotomy, ligament reconstruction, spine surgery, trauma surgery, and tumour surgery that have become available in recent years and discusses future applications based on fundamental research and continuously developing computer technology / devices. Computer Assisted Orthopaedic Surgery for Hip and Knee highlights three areas – total knee arthroplasty (TKA); total hip arthroplasty (THA) and hip osteotomy; and statistical shape modelling. It is a valuable resource for orthopaedic surgeons, clinical technologists and computer scientists and other specialists interested in this technology.
| Author | : Guoyan Zheng |
| Publisher | : Springer |
| Total Pages | : 353 |
| Release | : 2018-10-10 |
| Genre | : Medical |
| ISBN | : 9811313962 |
This book introduces readers to the latest technological advances in the emerging field of intelligent orthopaedics. Artificial intelligence and smart instrumentation techniques are now revolutionizing every area of our lives, including medicine. The applications of these techniques in orthopaedic interventions offer a number of potential benefits, e.g. reduced incision size and scarring, minimized soft tissue damage, and decreased risk of misalignment. Consequently, these techniques have become indispensable for various orthopaedic interventions, which has led to the emerging field of intelligent orthopaedics. Addressing key technologies and applications, this book offers a valuable guide for all researchers and clinicians who need an update on both the principles and practice of intelligent orthopaedics, and for graduate students embarking on a career in this field.
| Author | : Terry M. Peters |
| Publisher | : CRC Press |
| Total Pages | : 288 |
| Release | : 2018-10-26 |
| Genre | : Science |
| ISBN | : 1351654438 |
Augmented reality (AR) is transforming how we work, learn, play and connect with the world, and is now being introduced to the field of medicine, where it is revolutionising healthcare as pioneering virtual elements are being added to real images to provide a more compelling and intuitive view during procedures. This book, which had its beginnings at the AE-CAI: Augmented Environments for Computer-Assisted Interventions MICCAI Workshop in Munich in 2015, is the first to review the area of mixed and augmented reality in medicine. Covering a range of examples of the use of AR in medicine, it explores its relevance to minimally-invasive interventions, how it can improve the accuracy of a procedure and reduce procedure time, and how it may be employed to reduce radiation risks. It also discusses how AR can be an effective tool in the education of physicians, medical students, nurses and other health professionals. Features: An ideal practical guide for medical professionals and students looking to understand the implementation, applications, and future of AR Contains the latest developments and technologies in this innovative field Edited by highly respected pioneers in the field, who have been immersed in AR as well as virtual reality and image-guided surgery since their inception, with chapter contributions from subject area specialists working with AR
| Author | : Mingxia Liu |
| Publisher | : Springer Nature |
| Total Pages | : 702 |
| Release | : 2020-10-02 |
| Genre | : Computers |
| ISBN | : 3030598616 |
This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
| Author | : Martin Reuter |
| Publisher | : Springer |
| Total Pages | : 319 |
| Release | : 2018-11-22 |
| Genre | : Computers |
| ISBN | : 3030047474 |
This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis.
| Author | : João Manuel R. S. Tavares |
| Publisher | : Springer Nature |
| Total Pages | : 493 |
| Release | : 2022-01-13 |
| Genre | : Computers |
| ISBN | : 3030934209 |
This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10–13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision.
| Author | : Seema Bhatnagar |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 262 |
| Release | : 2024-09-24 |
| Genre | : Medical |
| ISBN | : 1036410625 |
This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.
