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An Introduction to Medical Image Analysis in 3D
Published in Rohit Raja, Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi, Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing, 2020
Upasana Sinha, Kamal Mehta, Prakash C. Sharma
Image Analysis: Picture evaluation is the extraction of significant records from pictures; particularly from digital pictures via virtual image processing systems. Image research tasks may be as easy as reading bar coded tags or as state-of-the-art as recognising a person from their face.
Objective and Camera Lenses
Published in Robert J. Parelli, Principles of Fluoroscopic Image Intensification and Television Systems, 2020
An image created by the actual intersection of light rays is called virtual image.real image.magnified image.prism.
Gynaecology
Published in Roy Palmer, Diana Wetherill, Medicine for Lawyers, 2020
Gynaecologists have had the diagnostic facility for examining pelvic and abdominal contents with a telescope since the middle of the last century. In the past 20 years the instrument has been developed as an operative tool. While these complicated procedures, relying on the virtual image, are a fertile ground for litigation, there is no space in this short chapter to deal with them. Diagnostic laparoscopy still generates the majority of complaints.
Metaverse applied to musculoskeletal pathology: Orthoverse and Rehabverse
Published in Postgraduate Medicine, 2023
Juan M. Román-Belmonte, E. Carlos Rodríguez-Merchán, Hortensia De la Corte-Rodríguez
New technologies have changed the way people interact with the world around them. Several technological advances have created a favorable ecosystem for the birth of the Metaverse. Advances in 3D graphics have allowed the visual aspect of the virtual image to become more realistic, generating more immersive environments, making it easier to engage users. In addition, high-speed 5 G connectivity has enabled users to access these virtual environments with minimal delay. The ubiquitous presence of mobile phones and tablets has enabled access to the Metaverse at anytime and place. There are also a number of social changes to consider, such as the increased influence of younger generations in society, who, being digital natives, have brought about changes in people’s relationship with the virtual world [2].
Computer-assisted surgery in medical and dental applications
Published in Expert Review of Medical Devices, 2021
Yen-Wei Chen, Brian W. Hanak, Tzu-Chian Yang, Taylor A. Wilson, Jenovie M. Hsia, Hollie E. Walsh, Huai-Che Shih, Kanako J. Nagatomo
Often paired with the operating microscope, augmented reality neuronavigation systems merge data from the operating field with preoperative imaging to project a real-time, three-dimensional virtual image onto the surgical field during the operation. This enriches the neurosurgeon’s view of the operating field by providing information about nearby neurovascular structures, including those partially or completely obscured by other structures [18,19]. This is particularly useful in neurosurgery in which the operating corridor is often small and limited by the need to minimize manipulation and injury of adjacent neurovascular structures. Augmented reality neuronavigation systems may also be utilized for image-guidance. Unlike probe-based based neuronavigation systems which require the neurosurgeon to look away from the operative field, augmented reality neuronavigation affords the opportunity to actively visualize the anatomic details while operating, without breaking attention from the surgical field [18–20]. Augmented reality neuronavigation systems allow the merged real and virtual images to be saved for utilization by the neurosurgeon outside of the operating room.
Development of an isotoxic decision support system integrating genetic markers of toxicity for the implantation of a rectum spacer
Published in Acta Oncologica, 2018
Yvonka van Wijk, Ben G. L. Vanneste, Arthur Jochems, Sean Walsh, Cary J. Oberije, Michael Pinkawa, Bram L. T. Ramaekers, Ana Vega, Philippe Lambin
In order to use the isotoxic model to predict the improvement of the IRS in a specified patient, CT images of a patient are needed before the placement of the IRS. To this end, a previously developed V-IRS was used [15]. This V-IRS uses a model IRS derived from 7 delineations of a RBI and uses image deformation to insert the model into a CT image of a patient without an IRS, thus creating a virtual image of the patient with an IRS. This virtual image is then subjected to treatment planning, and the isotoxic model is used to calculate the highest possible TCP without exceeding the NTCP limit. In this study we test the V-IRS by comparing the results of the isotoxic model to those of the actual IRS.