Literature DB >> 22065474

Browsing software of the Visible Korean data used for teaching sectional anatomy.

Dong Sun Shin1, Min Suk Chung, Hyo Seok Park, Jin Seo Park, Sung Bae Hwang.   

Abstract

The interpretation of computed tomographs (CTs) and magnetic resonance images (MRIs) to diagnose clinical conditions requires basic knowledge of sectional anatomy. Sectional anatomy has traditionally been taught using sectioned cadavers, atlases, and/or computer software. The computer software commonly used for this subject is practical and efficient for students but could be more advanced. The objective of this research was to present browsing software developed from the Visible Korean images that can be used for teaching sectional anatomy. One thousand seven hundred and two sets of MRIs, CTs, and sectioned images (intervals, one millimeter) of a whole male cadaver were prepared. Over 900 structures in the sectioned images were outlined and then filled with different colors to elaborate each structure. Software was developed where four corresponding images could be displayed simultaneously; in addition, the structures in the image data could be readily recognized with the aid of the color-filled outlines. The software, distributed free of charge, could be a valuable tool to teach medical students. For example, sectional anatomy could be taught by showing the sectioned images with real color and high resolution. Students could then review the lecture by using the sectioned and color-filled images on their own computers. Students could also be evaluated using the same software. Furthermore, other investigators would be able to replace the images for more comprehensive sectional anatomy.
Copyright © 2011 Wiley-Liss, Inc.

Mesh:

Year:  2011        PMID: 22065474     DOI: 10.1002/ase.249

Source DB:  PubMed          Journal:  Anat Sci Educ        ISSN: 1935-9772            Impact factor:   5.958


  9 in total

1.  The Visible Human Projects in Korea and China with improved images and diverse applications.

Authors:  Jing-Xing Dai; Min Suk Chung; Rong-Mei Qu; Lin Yuan; Shu-Wei Liu; Dong Sun Shin
Journal:  Surg Radiol Anat       Date:  2012-03-10       Impact factor: 1.246

2.  Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images.

Authors:  Koojoo Kwon; Dong Sun Shin; Byeong-Seok Shin; Hyung Seon Park; Sangho Lee; Hae Gwon Jang; Jin Seo Park; Min Suk Chung
Journal:  J Korean Med Sci       Date:  2015-04-15       Impact factor: 2.153

3.  Portable document format file showing the surface models of cadaver whole body.

Authors:  Dong Sun Shin; Min Suk Chung; Jin Seo Park; Hyung Seon Park; Sangho Lee; Young Lae Moon; Hae Gwon Jang
Journal:  J Korean Med Sci       Date:  2012-07-25       Impact factor: 2.153

4.  Three types of the serial segmented images suitable for surface reconstruction.

Authors:  Dong Sun Shin; Jin Seo Park; Min Suk Chung
Journal:  Anat Cell Biol       Date:  2012-06-30

5.  Three Software Tools for Viewing Sectional Planes, Volume Models, and Surface Models of a Cadaver Hand.

Authors:  Beom Sun Chung; Min Suk Chung; Byeong Seok Shin; Koojoo Kwon
Journal:  J Korean Med Sci       Date:  2018-02-19       Impact factor: 2.153

6.  Improved Software to Browse the Serial Medical Images for Learning.

Authors:  Koojoo Kwon; Min Suk Chung; Jin Seo Park; Byeong Seok Shin; Beom Sun Chung
Journal:  J Korean Med Sci       Date:  2017-07       Impact factor: 2.153

7.  Rise of the Visible Monkey: Sectioned Images of Rhesus Monkey.

Authors:  Beom Sun Chung; Chang-Yeop Jeon; Jae-Won Huh; Kang-Jin Jeong; Donghwan Har; Kyu-Sung Kwack; Jin Seo Park
Journal:  J Korean Med Sci       Date:  2019-02-22       Impact factor: 2.153

8.  Homepage to distribute the anatomy learning contents including Visible Korean products, comics, and books.

Authors:  Beom Sun Chung; Min Suk Chung
Journal:  Anat Cell Biol       Date:  2018-03-28

9.  New Viewpoint of Surface Anatomy Using the Curved Sectional Planes of a Male Cadaver.

Authors:  Koojoo Kwon; Byeong-Seok Shin; Min Suk Chung; Beom Sun Chung
Journal:  J Korean Med Sci       Date:  2019-01-03       Impact factor: 2.153

  9 in total

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