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한국인의 연속절단면영상에서 쓴 자동화기술

Automated Techniques for the Sectioned Images of Visible Korean

박진서|김정요
대한체질인류학회|2021.09|해부·생물인류학 (Anatomy & Biological Anthropology)|제34권 제3호|pp. 57-65|DOI 10.11637/aba.2021.34.3.57

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참고문헌

키워드

3차원영상절단해부학한국인의 절단면영상Cross-sectional anatomyThree-dimensional ImagingVisible Human Projects
주제분류해부학

초록

절단면영상은 사람 몸 속을 실제빛깔, 고해상도로 볼 수 있어서 해부학과 신경해부학에서 배우는 거의 모든구조물을 볼 수 있었다. 절단면영상을 여러 용도로 활용하기 위해서는 다양한 영상 처리 작업을 수행해야 했다. 이작업을 자동화할 수 있다면 작업을 위한 인력과 시간을 많이 줄일 수 있고, 작업 결과도 한결같게 만들 수 있었다. 그러나 절단면영상은 빛깔개수가 많고 해상도가 높고 영상 개수가 많아서 자동화 기술을 쓰기 어려웠다. 이 연구의 목적은 절단면영상과 같은 실제빛깔, 고해상도 영상을 다룰 수 있는 자동화 방법을 소개하고 쓰는 방법을 알려서, 영상연구를 하는 연구자들이 좀 더 많은 일을 빨리 할 수 있게 돕는 것이다. 절단면영상의 영상 처리작업을 자동으로 수행하기 위해서 Adobe Photoshop, Matlab 같은 상업용 소프트웨어와 MRIcroGL, FMRIB Software Library 같은 무료소프트웨어를 함께 썼다. 소프트웨어에서 자동으로 수행하지 못하는 작업은 C++ 프로그래밍 언어와 Javascript 언어로 코딩하여 자동화 기술을 개발하였다. 자동화 기술을 써서 절단면영상에서 여러 구조물을 빛깔로 칠한 구역화영상을 만들었다. 절단면영상과 구역화영상으로 표면3차원영상과 부피3차원영상을 자동으로 만들었다. 표면3차원영상과 부피3차원영상을 Adobe Reader와 MRIcroGL로 볼 수 있게 만들었다. 자동화 기술을 써서 절단면영상을 처리하는 데 소요되는 시간과 노력을 줄일 수 있었다. 하지만 자동화만으로 최종 결과물을 만들 수 없기 때문에 수동화 작업을 함께 해야했다. 가장 좋은 최종 결과물을 만들기 위해서 자동화 기능과 수동화 기능을 잘 조합하여 쓰는 것이중요했다. 앞으로 자동화 기능을 더 찾고 개발해서 수동화 작업을 최대한 줄일 것이다.

Abstract

The sectioned images of Visible Korean Project can display the structures of entire body in detail by virtue of the real color and high resolution. To utilize the sectioned images for various purposes, automatic image processing should be done. However, the automation for the sectioned images could not be easily done because of real color and high resolution of the images. This study aimed to introduce automatic techniques for image processing of the sectioned images to help researchers save working times for this processing. The automatic techniques for the sectioned images were developed using commercial software such as Adobe Photoshop and Matlab and non-commercial software such as MRIcroGL and FMRIB Software Library. Also, we developed the self-developed software by C++ and JAVA script for the automatic techniques because some procedures unable to be processed using the software. By using the automatic techniques, the segmented images of some structures were made automatically from the sectioned images. From the sectioned images and the segmented images, the surface models and the volume models were produced automatically. To display both the sectioned images and segmented images, browsing software was used. To display the surface models and the volume model, Adobe Reader and MRIcroGL were used. By using the automaitc techniques, times and efforts for image processing of the sectioned images could be saved. However, since the automatic techniques could not produce complete results by itself, manual work should be done together in some procedures. To produce best results from the sectioned images, it was important to use the automation and the manual works in balance. In future studies, additional automatic techniques will be devised to reduce manual work for efficiency.

참고문헌 (44)

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