• Koojoo Kwon, Dong Sun Shin, Byeong-Seok Shin, Hyung Seon Park, Sangho Lee, Hae Gwon Jang, Jin Seo Park, and Min Suk Chung.
• Department of Computer Science and Information Technology, Inha University, Incheon, Korea.
• J. Korean Med. Sci. 2015 May 1; 30 (5): 658-61.

AbstractWe intended to determine that virtual endoscopy and laparoscopy of the stomach based on serially sectioned cadaver images is beneficial. Therefore, the outlines between the gastric wall and lumen were traced using the new female data of the Visible Korean to build a volume model. While the outlines were expanded at appropriate thicknesses, the stomach was observed endoscopically and laparoscopically in comparison with a chosen sectioned image. Four layers (mucosa, submucosa, muscular layer, and serosa) of the stomach were discernible by their proper colors in the sectioned images. All layers except the submucosa were identified in the endoscopic and laparoscopic views by using consistent colors. The stepwise expansion of the outlines revealed thickness of each layer as well as whether the thickness was uniform. Our ideas and the Visible Korean images could be a robust resource of virtual reality learning for medical students and clinicians.

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