A novel method of anatomical data acquisition using the Perception ScanWorks V5 scanner

Welsh, E., Anderson, P. and Rea, P. (2014) A novel method of anatomical data acquisition using the Perception ScanWorks V5 scanner. International Journal on Recent and Innovation Trends in Computing and Communication, 2(8), pp. 2265-2276.

Abstract

A drastic reduction in the time available for cadaveric dissection and anatomy teaching in medical and surgical education has increased the requirement to supplement learning with the use of virtual gross anatomy training tools. In light of this, a number of known studies have approached the task of sourcing anatomical data from cadaveric material for end us in creating 3D reconstructions of the human body by producing vast image libraries of anatomical cross sections. However, the processing involved in the conversion of cross sectional images to reconstructions in 3D elicits a number of problems in creating an accurate and adequately detailed end product, suitable for educational. In this paperwe have employed a unique approach in a pilot study acquire anatomical data for end-use in 3D anatomical reconstruction by using topographical 3D laser scanning and high-resolution digital photography of all clinically relevant structures from the lower limb of a male cadaveric specimen. As a result a comprehensive high-resolution dataset, comprising 3D laser scanned data and corresponding colour photography was obtained from all clinically relevant gross anatomical structures associated with the male lower limb. This unique dataset allows a very unique and novel way to capture anatomical data and saves on the laborious processing of image segmentation common to conventional image acquisition used clinically, like CT and MRI scans. From this, it provides a dataset which can then be used across a number of commercial products dependent on the end-users requirements for development of computer training packages in medical and surgical rehearsal.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Rea, Professor Paul
• Authors: Welsh, E., Anderson, P., and Rea, P.
• Subjects: Q Science > QM Human anatomy
• College/School: College of Medical Veterinary and Life Sciences > School of Life Sciences
• Journal Name: International Journal on Recent and Innovation Trends in Computing and Communication
• Publisher: Auricle Technologies Pvt. Ltd
• ISSN: 2321-8169
• Copyright Holders: Copyright © 2014 The Authors
• First Published: First published in International Journal on Recent and Innovation Trends in Computing and Communication 2(8):2265-2276
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.