Prof. Yoon Sang Kim Profile

Prof. Yoon Sang Kim

at Korea National Univ. of Technology

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Proceedings Article | 8 February 2017 Paper

An evaluation on CT image acquisition method for medical VR applications

Seong-wook Jang, Junho Ko, Yon-sik Yoo, Yoonsang Kim

Proceedings Volume 10225, 102250S (2017) https://doi.org/10.1117/12.2266772

KEYWORDS: Computed tomography, Image acquisition, 3D modeling, Medical imaging, 3D image processing, Surgery, Virtual reality, 3D acquisition, 3D image reconstruction, Image visualization

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Recent medical virtual reality (VR) applications to minimize re-operations are being studied for improvements in surgical efficiency and reduction of operation error. The CT image acquisition method considering three-dimensional (3D) modeling for medical VR applications is important, because the realistic model is required for the actual human organ. However, the research for medical VR applications has focused on 3D modeling techniques and utilized 3D models. In addition, research on a CT image acquisition method considering 3D modeling has never been reported. The conventional CT image acquisition method involves scanning a limited area of the lesion for the diagnosis of doctors once or twice. However, the medical VR application is required to acquire the CT image considering patients’ various postures and a wider area than the lesion. A wider area than the lesion is required because of the necessary process of comparing bilateral sides for dyskinesia diagnosis of the shoulder, pelvis, and leg. Moreover, patients’ various postures are required due to the different effects on the musculoskeletal system. Therefore, in this paper, we perform a comparative experiment on the acquired CT images considering image area (unilateral/bilateral) and patients’ postures (neutral/abducted). CT images are acquired from 10 patients for the experiments, and the acquired CT images are evaluated based on the length per pixel and the morphological deviation. Finally, by comparing the experiment results, we evaluate the CT image acquisition method for medical VR applications.

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