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Technique of semiautomatic surface reconstruction of the visible Korean human data using commercial software.
Clin Anat 2007; 20(8):871-9CA

Abstract

This article describes the technique of semiautomatic surface reconstruction of anatomic structures using widely available commercial software. This technique would enable researchers to promptly and objectively perform surface reconstruction, creating three-dimensional anatomic images without any assistance from computer engineers. To develop the technique, we used data from the Visible Korean Human project, which produced digitalized photographic serial images of an entire cadaver. We selected 114 anatomic structures (skin [1], bones [32], knee joint structures [7], muscles [60], arteries [7], and nerves [7]) from the 976 anatomic images which were generated from the left lower limb of the cadaver. Using Adobe Photoshop, the selected anatomic structures in each serial image were outlined, creating a segmented image. The Photoshop files were then converted into Adobe Illustrator files to prepare isolated segmented images, so that the contours of the structure could be viewed independent of the surrounding anatomy. Using Alias Maya, these isolated segmented images were then stacked to construct a contour image. Gaps between the contour lines were filled with surfaces, and three-dimensional surface reconstruction could be visualized with Rhinoceros. Surface imperfections were then corrected to complete the three-dimensional images in Alias Maya. We believe that the three-dimensional anatomic images created by these methods will have widespread application in both medical education and research.

Authors+Show Affiliations

Department of Anatomy, Dongguk University College of Medicine, Gyeongju, Republic of Korea.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17948290

Citation

Park, Jin Seo, et al. "Technique of Semiautomatic Surface Reconstruction of the Visible Korean Human Data Using Commercial Software." Clinical Anatomy (New York, N.Y.), vol. 20, no. 8, 2007, pp. 871-9.
Park JS, Shin DS, Chung MS, et al. Technique of semiautomatic surface reconstruction of the visible Korean human data using commercial software. Clin Anat. 2007;20(8):871-9.
Park, J. S., Shin, D. S., Chung, M. S., Hwang, S. B., & Chung, J. (2007). Technique of semiautomatic surface reconstruction of the visible Korean human data using commercial software. Clinical Anatomy (New York, N.Y.), 20(8), pp. 871-9.
Park JS, et al. Technique of Semiautomatic Surface Reconstruction of the Visible Korean Human Data Using Commercial Software. Clin Anat. 2007;20(8):871-9. PubMed PMID: 17948290.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Technique of semiautomatic surface reconstruction of the visible Korean human data using commercial software. AU - Park,Jin Seo, AU - Shin,Dong Sun, AU - Chung,Min Suk, AU - Hwang,Sung Bae, AU - Chung,Jinoh, PY - 2007/10/20/pubmed PY - 2008/1/26/medline PY - 2007/10/20/entrez SP - 871 EP - 9 JF - Clinical anatomy (New York, N.Y.) JO - Clin Anat VL - 20 IS - 8 N2 - This article describes the technique of semiautomatic surface reconstruction of anatomic structures using widely available commercial software. This technique would enable researchers to promptly and objectively perform surface reconstruction, creating three-dimensional anatomic images without any assistance from computer engineers. To develop the technique, we used data from the Visible Korean Human project, which produced digitalized photographic serial images of an entire cadaver. We selected 114 anatomic structures (skin [1], bones [32], knee joint structures [7], muscles [60], arteries [7], and nerves [7]) from the 976 anatomic images which were generated from the left lower limb of the cadaver. Using Adobe Photoshop, the selected anatomic structures in each serial image were outlined, creating a segmented image. The Photoshop files were then converted into Adobe Illustrator files to prepare isolated segmented images, so that the contours of the structure could be viewed independent of the surrounding anatomy. Using Alias Maya, these isolated segmented images were then stacked to construct a contour image. Gaps between the contour lines were filled with surfaces, and three-dimensional surface reconstruction could be visualized with Rhinoceros. Surface imperfections were then corrected to complete the three-dimensional images in Alias Maya. We believe that the three-dimensional anatomic images created by these methods will have widespread application in both medical education and research. SN - 0897-3806 UR - https://www.unboundmedicine.com/medline/citation/17948290/Technique_of_semiautomatic_surface_reconstruction_of_the_visible_Korean_human_data_using_commercial_software_ L2 - https://doi.org/10.1002/ca.20535 DB - PRIME DP - Unbound Medicine ER -