Quantitative Ultrasound


Book Description

Ultrasound is quickly becoming the technique of choice in the measurement of bone density. Proving cheaper and more portable than previous techniques, and also having the advantage of not using ionizing radiation, it is likely that the use of various ultrasound systems will become increasingly widespread in clinical practice. This book is a comprehensive review of the systems currently available, preceded by a summary of the basic science of ultrasound and concluding with a section on clinical studies, trials and experience in a number of countries. Likely future developments are also discussed, bringing the book completely up to date.




Medical Image Computing and Computer Assisted Intervention – MICCAI 2023


Book Description

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.




Veterinary Echocardiography


Book Description

Veterinary Echocardiography, Second Edition is a fully revised version of the classic reference for ultrasound of the heart, covering two-dimensional, M-mode, and Doppler examinations for both small and large animal domestic species. Written by a leading authority in veterinary echocardiography, the book offers detailed guidelines for obtaining and interpreting diagnostic echocardiograms in domestic species. Now thoroughly updated to address advances in technology, including better transducers, tissue harmonic imaging, better color flow mapping, and color and spectral tissue Doppler imaging, this second edition provides an authoritative, comprehensive resource for echocardiographers of all levels of experience. The Second Edition has been restructured to be more user-friendly, with chapters on acquired and congenital heart diseases broken down into shorter disease-specific chapters. Key changes include the addition of normal tissue Doppler technique, as well as five new appendices, covering topics such as normal reference ranges and an exam checklist. Veterinary Echocardiography, Second Edition builds on the success of the previous edition to provide complete information on obtaining echocardiograms in veterinary medicine.




Image Analysis and Recognition


Book Description

The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.




Bone Implant Interface


Book Description




Understanding Machine Learning


Book Description

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.




Principles of Clinical Medicine for Space Flight


Book Description

In its first edition, Principles of Clinical Medicine for Space Flight established itself as the authoritative reference on the contemporary knowledge base of space medicine and standards of care for space flyers. It received excellent notices and is used in the curricula of civilian and military training programs and used as a source of questions for the Aerospace Medicine Certifying Examination under the American Board of Preventive Medicine. In the intervening few years, the continuous manning of the International Space Station has both strengthened existing knowledge and uncovered new and significant phenomena related to the human in space. The Second Edition incorporates this information. Gaps in the first edition will be addressed with the addition new and revised chapters. This edition is extensively peer reviewed and represents the most up to date knowledge.




Manual of Emergency and Critical Care Ultrasound


Book Description

Ultrasound has revolutionized a physician's ability to make urgent and emergent diagnoses at the bedside, and has changed the management of many acute injuries and conditions. This is a practical, concise introduction to what is rapidly becoming an essential tool for all critical care physicians: bedside emergency ultrasound. The Manual covers the full spectrum of conditions diagnosed using ultrasound and gives practical guidance in how to use ultrasound for common invasive procedures. Major applications are introduced using focused diagnostic questions and reviewing the image-acquisition skills needed to answer them. Images of positive and negative findings are presented, and scanning tips for improving image quality. The second edition has been substantially revised and expanded, with new images, updated literature reviews, new applications and clinical algorithms. New chapters cover additional procedures, musculoskeletal and pediatric applications, and the use of ultrasound in resuscitation. This text is invaluable for emergency physicians at all levels.




Quantitative Ultrasound in Soft Tissues


Book Description

Quantitative ultrasound (QUS) continues to mature as a research field and is primed to make a swift transition to routine preclinical and clinical applications. This book will serve two main purposes: Advanced education in QUS by providing a complete and thorough review of all theoretical, physical, and engineering aspects of QUS. Review of recent development of QUS by lead contributors in the research field. This 2nd edition will focus on 6 modern research topics related to quantitative ultrasound of soft tissues: Spectral-based methods for tissue characterization, tissue typing, cancer detection, etc. Attenuation estimation for tissue characterization and improving spectral based methods Envelope statistics analysis as a means of quantifying and imaging tissue properties. Ultrasound computed tomography for preclinical and clinical imaging. Scanning acoustic microscopy for forming images of mechanical properties of soft tissues with micron resolution. Phantoms for quantitative ultrasound.




Artificial Intelligence in Medical Imaging


Book Description

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.