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This book summarizes the recent advancements for visualized medicine in terms of fundamental principles, rapidly emerging techniques and developing frontiers. Especially with the combination of artificial intelligence (AI), medical imaging agents and medical robots, smart medical technologies have been innovated and applied to the clinical uses to serve the fatal human diseases diagnosis, treatment, prognosis and data analysis. This philosophy comprehensively revolutionizes the treatment strategy of human healthcare, and will enable precision medicine and precision surgery further intuitively detectable, smartly analyzable and accurately operational. This book will discuss and conclude: 1) state-of-the-art definition of visualized medicine; 2) advanced techniques and clinical applications of visualized medicine in the past decade; 3) novel frontiers and brand-new technologies, e.g. artificial intelligence (AI), surgical robots, etc. 4) revolutionary impacts on disease diagnosis, treatments and prognosis; 5) future challenges and perspectives.
Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons.* A core field of visualization and graphics missing a dedicated book until now* Written by pioneers in the field and illustrated in full color* Covers theory as well as practice
Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities. The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation. This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general. Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation. Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning. - Combines visualization, virtual reality and analytics - Written by leading researchers in the field - Gives the latest state-of-the-art techniques and applications
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. The interaction between visualization and medicine is one of the fastest expanding fields, both scientifically and commercially. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.
This book expands the art historical perspective on art’s connection to anatomy and medicine, bringing together in one text several case studies from various methodological perspectives. The contributors focus on the common visual and bodily nature of (figural) art, anatomy, and medicine around the central concept of modeling (posing, exemplifying and fabricating). Topics covered include the role of anatomical study in artistic training, the importance of art and visual literacy in anatomical/medical training and in the dissemination (via models) of medical knowledge/information, and artistic representations of the medical body in the contexts of public health and propaganda.
For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions.
This book provides a practically orientated resource that details the use a range of imaging techniques across major specialties plus those that are less well represented in standard textbooks (e.g. cardiothoracic surgery, palliative care, geriatric medicine, skin conditions from diverse ethnic groups). Emphasis is placed on enabling the reader to interpret images and clinical data, while avoiding mistakes and pitfalls in their day-to-day practice. Detailed question and answer sections along with insightful videos reinforce key messages (e.g. visualizing heart murmurs). Grading of questions aids navigation, with more difficult questions to benefit the high-flying students/junior doctors preparing for postgraduate exams/physician associates and advanced nurse practitioners working in a specialist area. Practical Guide to Visualizing Medicine: A Self-Assessment Manual concisely covers how to use imaging techniques in medicine, surgery, pediatrics, obstetrics and gynecology. It emphasizes the value of being able to accurately visualize signs and symptoms to make accurate diagnoses and provide patient-centered care. The added insight given from experienced medical educators on how to select an appropriate medical specialty makes this work critical for all trainee and early-career medical practitioners and allied healthcare professionals.
"This book features a comprehensive review of advances in medical visualization and human-computer interaction. It investigates the human roles during a visualization process, specifically motivation-based design, user-based design, and perception-and-cognitive-based design. It also provides real-world examples and insight into the analytical and architectural aspects of user centered design"--Provided by publisher.
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field. - Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field - Illustrated in full color - Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more