Abstract: Ultrasound has become a widely used form of medical imaging because it is low-cost, safe, and portable. However, it is heavily dependent on the skill of the operator to capture quality images and properly detect abnormalities. Training is a key component of ultrasound, but the limited availability of training courses and programs presents a significant obstacle to the wider use of ultrasound systems. The goal of this work was to design and implement an interactive training system to help train and evaluate sonographers. This Virtual Training System for Diagnostic Ultrasound is an inexpensive, software-based training system in which the trainee scans a generic scan surface with a sham transducer containing position and orientation sensors. The observed ultrasound image is generated from a pre-stored 3D image volume and is controlled interactively by the users movement of the sham transducer. The patient in the virtual environment represented by the 3D image data may depict normal anatomy, exhibit a speciific trauma, or present a given physical condition. The training system provides a realistic scanning experience by providing an interactive real-time display with adjustable image parameters similar to those of an actual diagnostic ultrasound system. This system has been designed to limit the amount of hardware needed to allow for low-cost and portability for the user. The system is able to utilize a PC to run the software. To represent the patient to be scanned, a specific scan surface has been produced that allows for an optical sensor to track the position of the sham transducer. The orientation of the sham transducer is tracked by using an inexpensive inertial measurement unit that relies on the use of quaternions to be integrated into the system. The lack of a physical manikin is overcome by using a visual implementation of a virtual patient in the software along with a virtual transducer that reflects the movements of the user on the scan surface. Pre-processing is performed on the selected 3D image volume to provide coordinate transformation parameters that yield a least-mean square fit from the scan surface to the scanning region of the virtual patient. This thesis presents a prototype training system accomplishing the main goals of being low-cost, portable, and accurate. The ultrasound training system can provide cost-effective and convenient training of physicians and sonographers. This system has the potential to become a powerful tool for training sonographers in recognizing a wide variety of medical conditions.

Over the last century, medicine has come out of the "black bag" and emerged as one of the most dynamic and advanced fields of development in science and technology. Today, biomedical engineering plays a critical role in patient diagnosis, care, and rehabilitation. More than ever, biomedical engineers face the challenge of making sure that medical d

Since the debut of the Medicine Meets Virtual Reality (MMVR) conference in 1992, MMVR has served as a forum for researchers harnessing IT advances for the benefit of patient diagnosis and care, medical education and procedural training. At MMVR, virtual reality becomes a theatre for medicine, where multiple senses are engaged - sight, sound and touch - and language and image fuse. Precisely because this theatre is unreal, it is a valuable tool: the risks of experimentation and failure are gone, while the opportunity to understand remains. Improvement of this tool, through steady technological progress, is the purpose of MMVR. This book presents papers delivered at the MMVR18 / NextMed conference, held in Newport Beach, California, in February 2011, with contributions from international researchers whose work creates new devices and methods at the juncture of informatics and medicine. Subjects covered include simulation and learning, visualization and information-guided therapy, robotics and haptics, virtual reality and advanced ICT in Europe, validation of new surgical techniques, and many other applications of virtual-reality technology. As its name suggests, the NextMed conference looks forward to the expanding role that virtual reality can play in global healthcare. This overview of current technology will interest those who dedicate themselves to improving medicine through technology.

This book presents the latest research findings and reviews in the field of medical imaging technology, covering ultrasound diagnostics approaches for detecting osteoarthritis, breast carcinoma and cardiovascular conditions, image guided biopsy and segmentation techniques for detecting lung cancer, image fusion, and simulating fluid flows for cardiovascular applications. It offers a useful guide for students, lecturers and professional researchers in the fields of biomedical engineering and image processing.

Comprised of chapters carefully selected from CRC‘s best-selling engineering handbooks, volumes in the Principles and Applications in Engineering series provide convenient, economical references sharply focused on particular engineering topics and subspecialties. Culled from the Biomedical Engineering Handbook, Biomedical Imaging

Smart VR/AR/MR Systems for Professionals is a comprehensive guide that explores the ground-breaking applications of virtual reality (VR), augmented reality (AR), and mixed reality (MR) in various industries. This book aims to equip practicing professionals with the knowledge and insights they need to harness the full potential of these immersive technologies in their respective fields. Through this book, the authors aim to explore the experimental breakthroughs and cutting-edge methodologies that have emerged in the realm of VR/AR/MR. The book delves deeper into the profound impact these technologies have had on the design process, computer-aided design, healthcare product development, manufacturing, human-robot collaboration, medical imaging, rehabilitation, and even phobia therapy. In each chapter of this book, we delve into specific topics, uncovering the principles, methodologies, and best practices that professionals can adopt. Examples of these topics range from empowering design processes with virtual reality to revolutionizing computer-aided design, and from exploring AR/VR/MR technologies in healthcare to transforming manufacturing with digital twins and metrology in VR. The book aims to provide practitioners with valuable insights, real-world examples, and practical guidance to navigate the ever-evolving landscape of VR/AR/MR systems.

In this study, we compared the effects of simulator-based virtual ultrasound scanning practice to classroom-based hands-on ultrasound scanning practice on participants' knowledge of FAST window quadrants and interpretation, and on participants' performance on live patient FAST exams. Twenty-five novice participants were randomly assigned to the simulation-practice condition and 24 participants to the classroom-practice condition. Participants were mostly medical school students, with some nursing students. Participants who received simulation-based practice scored significantly higher on interpreting static images of FAST windows. On live patient exams where participants scanned the RUQ, LUQ, and suprapubic quadrant of a normal patient and an ascites positive patient (6 quadrants total), there were no statistical differences between the two conditions on scan time, window acquisition, and window interpretation except for the following: the classroom-practice condition had shorter scan time for the LUQ, and a higher number of participants attaining high window quality on the RUQ (normal patient only) and suprapubic quadrant (positive patient only) and correct window interpretation on the LUQ (normal patient only). Performance was statistically similar on all other window quality and window interpretation measures on the other quadrants. Overall, classroom-based practice appeared to promote physical acquisition skills (e.g., acquiring a window) and simulator-based practice appeared to promote window interpretation skills. The simulator used (SonoSimulator[TM]) was well received by participants and appears promising as a training tool not only to increase probe time, but also to increase exposure to FAST windows reflecting various anatomy and disease states. Appendices include: (1) Posttest Form (Knowledge of Ultrasound and Background Survey); (2) Prior Knowledge of Anatomy Items; (3) Participant Feedback Form; (4) Participant Comments; (5) Picture of a Classroom Practice Session; (6) Picture of the Lab Setup; (7) Classroom Practice Observation Form; (8) Performance test Observation Form; (9) Picture of the Simulation Setup; (10) Simulation User Interface Screenshots; (11) Simulation Condition Directions; (12) Ultrasound Simulation Report; and (13) Sonographer Feedback Form. (Contains 11 tables, 3 figures and 3 footnotes.).

This scholarly set of well-harmonized volumes provides indispensable and complete coverage of the exciting and evolving subject of medical imaging systems. Leading experts on the international scene tackle the latest cutting-edge techniques and technologies in an in-depth but eminently clear and readable approach.Complementing and intersecting one another, each volume offers a comprehensive treatment of substantive importance to the subject areas. The chapters, in turn, address topics in a self-contained manner with authoritative introductions, useful summaries, and detailed reference lists. Extensively well-illustrated with figures throughout, the five volumes as a whole achieve a unique depth and breath of coverage.As a cohesive whole or independent of one another, the volumes may be acquired as a set or individually.

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.