Cargando…
Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images
We 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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414653/ https://www.ncbi.nlm.nih.gov/pubmed/25931800 http://dx.doi.org/10.3346/jkms.2015.30.5.658 |
_version_ | 1782368978081939456 |
---|---|
author | Kwon, Koojoo Shin, Dong Sun Shin, Byeong-Seok Park, Hyung Seon Lee, Sangho Jang, Hae Gwon Park, Jin Seo Chung, Min Suk |
author_facet | Kwon, Koojoo Shin, Dong Sun Shin, Byeong-Seok Park, Hyung Seon Lee, Sangho Jang, Hae Gwon Park, Jin Seo Chung, Min Suk |
author_sort | Kwon, Koojoo |
collection | PubMed |
description | We 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. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-4414653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-44146532015-05-01 Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images Kwon, Koojoo Shin, Dong Sun Shin, Byeong-Seok Park, Hyung Seon Lee, Sangho Jang, Hae Gwon Park, Jin Seo Chung, Min Suk J Korean Med Sci Original Article We 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. GRAPHICAL ABSTRACT: [Image: see text] The Korean Academy of Medical Sciences 2015-05 2015-04-15 /pmc/articles/PMC4414653/ /pubmed/25931800 http://dx.doi.org/10.3346/jkms.2015.30.5.658 Text en © 2015 The Korean Academy of Medical Sciences. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kwon, Koojoo Shin, Dong Sun Shin, Byeong-Seok Park, Hyung Seon Lee, Sangho Jang, Hae Gwon Park, Jin Seo Chung, Min Suk Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images |
title | Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images |
title_full | Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images |
title_fullStr | Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images |
title_full_unstemmed | Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images |
title_short | Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images |
title_sort | virtual endoscopic and laparoscopic exploration of stomach wall based on a cadaver's sectioned images |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414653/ https://www.ncbi.nlm.nih.gov/pubmed/25931800 http://dx.doi.org/10.3346/jkms.2015.30.5.658 |
work_keys_str_mv | AT kwonkoojoo virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT shindongsun virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT shinbyeongseok virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT parkhyungseon virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT leesangho virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT janghaegwon virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT parkjinseo virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages AT chungminsuk virtualendoscopicandlaparoscopicexplorationofstomachwallbasedonacadaverssectionedimages |