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Real-time Medical Visualization of Human Head and Neck Anatomy and its Applications for Dental Training and Simulation

Anderson, Paul, Chapman, Paul, Ma, Minhua and Rea, P. (2013) Real-time Medical Visualization of Human Head and Neck Anatomy and its Applications for Dental Training and Simulation. Current Medical Imaging Reviews, 9 (4). pp. 298-308. ISSN 1573-4056

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Abstract or description

The Digital Design Studio and NHS Education Scotland have developed ultra-high definition real-time interactive 3D anatomy of the head and neck for dental teaching, training and simulation purposes. In this paper we present an established workflow using state-of-the-art 3D laser scanning technology and software for design and construction of medical data and describe the workflow practices and protocols in the head and neck anatomy project. Anatomical data was acquired through topographical laser scanning of a destructively dissected cadaver. Each stage of model development was clinically validated to produce a normalised human dataset which was transformed into a real-time environment capable of large-scale 3D stereoscopic display in medical teaching labs across Scotland, whilst also supporting single users with laptops and PC. Specific functionality supported within the 3D Head and Neck viewer includes anatomical labelling, guillotine tools and selection tools to expand specific local regions of anatomy. The software environment allows thorough and meaningful investigation to take place of all major and minor anatomical structures and systems whilst providing the user with the means to record sessions and individual scenes for learning and training purposes. The model and software have also been adapted to permit interactive haptic simulation of the injection of a local anaesthetic.

Item Type: Article
Additional Information: ID=10.2174/15734056113096660004 FD=2013-11
Faculty: School of Computing and Digital Technologies > Computing
Depositing User: Eunice MA
Date Deposited: 21 Jun 2017 11:13
Last Modified: 24 Feb 2023 13:47
Related URLs:
URI: https://eprints.staffs.ac.uk/id/eprint/3398

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