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A Novel Method of Anatomical Data Acquisition Using the Perceptron ScanWorks V5 Scanner

机译:一种新的使用perceptron scanWorks V5扫描仪进行解剖数据采集的方法

摘要

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.
机译:大量减少用于医学和外科手术的尸体解剖和解剖学教学的时间,增加了使用虚拟大体解剖学训练工具补充学习的需求。鉴于此,许多已知的研究已经完成了从尸体材料中获取解剖数据的任务,从而最终通过生成庞大的解剖横截面图像库来创建人体的3D重建。但是,将横截面图像转换为3D重建所涉及的处理在创建适用于教育的准确且足够详细的最终产品时引发了许多问题。在本文中,我们采用了独特的方法,通过对男性尸体标本下肢进行的所有临床相关结构的地形3D激光扫描和高分辨率数字摄影,在3D解剖重建中获取最终用途的解剖数据。结果,从与男性下肢相关的所有临床相关的大体解剖结构中获得了包括3D激光扫描数据和相应的彩色摄影的全面的高分辨率数据集。这个独特的数据集提供了一种非常独特和新颖的方式来捕获解剖数据,并节省了临床上常规图像采集(如CT和MRI扫描)所常见的费力的图像分割处理。据此,它提供了一个数据集,然后可以根据最终用户在医学和外科排练中开发计算机培训包的需求,将其用于许多商业产品。

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