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Advanced Surface Reconstruction Technique to Build Detailed Surface Models of the Liver and Neighboring Structures from the Visible Korean Human

Unlike volume models, surface models, which are empty three-dimensional images, have small file size, so that they can be displayed, rotated, and modified in a real time. For the reason, the surface models of liver and neighboring structures can be effectively applied to virtual hepatic segmentectom...

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Detalles Bibliográficos
Autores principales: Shin, Dong Sun, Chung, Min Suk, Lee, Jun Won, Park, Jin Seo, Chung, Jinoh, Lee, Seung-Bock, Lee, Sang-Ho
Formato: Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698180/
https://www.ncbi.nlm.nih.gov/pubmed/19543420
http://dx.doi.org/10.3346/jkms.2009.24.3.375
Descripción
Sumario:Unlike volume models, surface models, which are empty three-dimensional images, have small file size, so that they can be displayed, rotated, and modified in a real time. For the reason, the surface models of liver and neighboring structures can be effectively applied to virtual hepatic segmentectomy, virtual laparoscopic cholecystectomy, and so on. The purpose of this research is to present surface models of detailed structures inside and outside the liver, which promote medical simulation systems. Forty-seven chosen structures were liver structures such as portal triad, hepatic vein, and neighboring structures such as the stomach, duodenum, muscles, bones, and skin. The structures were outlined in the serially sectioned images from the Visible Korean Human to prepare segmented images. From the segmented images, serial outlines of each structure were stacked; on the popular commercial software, advanced surface reconstruction technique was applied to build surface model of the structure. A surface model of the liver was divided into eight models of hepatic segments according to distribution of the portal vein. The surface models will be distributed to encourage researchers to develop the various kinds of medical simulation of the abdomen.