Anatomy and Cell Biology

Korean Association of Anatomists (대한해부학회)
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Revisiting diaphragmatic hernia of Joseon period Korean mummy by three-dimensional liver and heart segmentation and model reconstruction

  • Ensung Koh (Department of Anatomy and Cell Biology, Seoul National University College of Medicine) ;
  • Da Yeong Lee (Data Science Division, MEDICALIP Co. Ltd.) ;
  • Dongsoo Yoo (Department of Radiology, Dankook University College of Medicine) ;
  • Myeung Ju Kim (Department of Anatomy, Dankook University College of Medicine) ;
  • In Sun Lee (Department of Radiology, Sungkyunkwan University School of Medicine) ;
  • Jong Ha Hong (Institute of Korean Archaeology and Ancient History, Kyung Hee University) ;
  • Sang Joon Park (Department of Radiology, Seoul National University College of Medicine) ;
  • Jieun Kim (Department of Anatomy and Cell Biology, Seoul National University College of Medicine) ;
  • Soon Chul Cha (Seorabeol Institute of Cultural Heritage) ;
  • Hyejin Lee (Department of Forensic Medicine, Seoul National University College of Medicine) ;
  • Chang Seok Oh (Department of Mortuary Science, College of Bio-Convergence, Eulji University) ;
  • Dong Hoon Shin (Department of Anatomy and Cell Biology, Seoul National University College of Medicine)
  • Received : 2022.05.02
  • Accepted : 2022.05.27
  • Published : 2022.12.31
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Abstract

A three-dimensional (3D) segmentation and model reconstruction is a specialized tool to reveal spatial interrelationship between multiple internal organs by generating images without overlapping structures. This technique can also be applicable to mummy studies, but related reports have so far been very rare. In this study, we applied 3D segmentation and model reconstruction to computed tomography images of a Korean mummy with congenital diaphragmatic hernia. As originally revealed by the autopsy in 2013, the current 3D reconstruction reveals that the mummy's heart is shifted to the left due to the liver pushing up to thoracic cavity thorough diaphragmatic hernial defect. We can generate 3D images by calling up the data exclusively from mummy's target organs, thus minimizing the confusion of diagnosis that could be caused by overlapping organs.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A2C1010708) and Korea Ministry of Education (2020R1I1A1A01073501).

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