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한국 남성 시신의 온몸을 연속절단하여 절단면영상을 만들었다. 절단면영상에서 구조물의 테두리를 그리면, 그 구조물을 3차원영상으로 만드는 등 그 활용도가 높아진다. 따라서 저자들은 다리에 이어서 팔 구조물도 구역화하기로 하였다. 왼팔의 절단면영상 628개에서 구조물 91개(피부 1개, 팔뼈 32개, 팔근육 49개, 동맥 6개 및 신경 3개)를 구역화하였다. 이 과정에서 구조물의 테두리를 이전보다 더욱 빨리 그리는 방법을 개발하였다. 포토샵에서 절단면영상을 필터링한 다음에 테두리를 빠른선택도구 등으로 그렸고, 컴버스천 소프트웨어에서 보간하여 테두리를 자동으로 만들기도 하였다. 관상구역화영상과 시상구역화영상, 연속절단면영상 둘러보기 소프트웨어, 부피3차원영상과 표면3차원영상을 만들어서 구조물의 테두리를 올바르게 그렸는지 확인하였다. 이 연구에서 만든 팔의 구역화영상을 절단면영상과 함께 퍼뜨리면, 다른 연구자가 팔의 3차원영상과 여러 소프트웨어를 만들 수 있으며, 나아가 의학 교육과 연구를 위해 폭넓게 쓸 것으로 기대된다.


Whole body of a Korean male cadaver was serially milled to make sectioned images. Segmentation of various anatomical structures can expand the utilization of the sectioned images such as three-dimensional (3D) reconstruction of the structures of real human. Following previous outlining of lower limb’s structures, we decided to make segmented images of upper limb’s structures in detail. Ninety-one structures (a skin, 32 bones, 49 muscles, 6 arteries, and 3 nerves) in the left upper limb were segmented in 628 sectioned images. While doing this, we developed more efficient technique for segmentation. To draw the outlines of various structures more quickly, sectioned images were filtered first and then outlines were drawn by ‘quick selection’ tool and other tools on the Photoshop. Also, outlines were automatically generated by interpolation using Combustion software. We made coronal and sagittal segmented images, browsing software of the serially sectioned images, volume 3D images, and surface 3D images for verifying segmentation. These segmented and sectioned images of the upper limb are expected to help other researchers make 3D images and various software of upper limb and to have widespread applications in both medical learning and research.


Whole body of a Korean male cadaver was serially milled to make sectioned images. Segmentation of various anatomical structures can expand the utilization of the sectioned images such as three-dimensional (3D) reconstruction of the structures of real human. Following previous outlining of lower limb’s structures, we decided to make segmented images of upper limb’s structures in detail. Ninety-one structures (a skin, 32 bones, 49 muscles, 6 arteries, and 3 nerves) in the left upper limb were segmented in 628 sectioned images. While doing this, we developed more efficient technique for segmentation. To draw the outlines of various structures more quickly, sectioned images were filtered first and then outlines were drawn by ‘quick selection’ tool and other tools on the Photoshop. Also, outlines were automatically generated by interpolation using Combustion software. We made coronal and sagittal segmented images, browsing software of the serially sectioned images, volume 3D images, and surface 3D images for verifying segmentation. These segmented and sectioned images of the upper limb are expected to help other researchers make 3D images and various software of upper limb and to have widespread applications in both medical learning and research.