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Cited 127 time in webofscience Cited 130 time in scopus
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Visible Korean human: Improved serially sectioned images of the entire body

Authors
Park, JSChung, MSHwang, SBLee, YSHar, DHPark, HS
Issue Date
Mar-2005
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
anatomical images; CT images; MR images; visible Korean human
Citation
IEEE TRANSACTIONS ON MEDICAL IMAGING, v.24, no.3, pp 352 - 360
Pages
9
Journal Title
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume
24
Number
3
Start Page
352
End Page
360
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/24654
DOI
10.1109/TMI.2004.842454
ISSN
0278-0062
1558-254X
Abstract
The data from the Visible Human Project (VHP) and the Chinese Visible Human (CVH), which are the serially sectioned images of the entire cadaver, are being used to produce three-dimensional (3-D) images and software. The purpose of our research, the Visible Korean Human (VKH), is to produce an enhanced version of the serially sectioned images of an entire cadaver that can be used to upgrade the 3-D images and software. These improvements are achieved without drastically changing the methods developed for the VHP and CVH; thus, a complementary solution was found. A Korean male cadaver was chosen without anything perfused into the cadaver; the entire body was magnetic resonance (MR) and computed tomography (CT) scanned at 1.0-mm intervals to produce MR and CT images. After scanning, entire body of the cadaver was embedded and serially sectioned at 0.2-mm intervals; each sectioned surface was inputted into a personal computer to produce anatomical images (pixel size: 0.2 mm) without any missing images. Eleven anatomical organs in the anatomical images were segmented to produce segmented images. The anatomical and segmented images were stacked and reconstructed to produce 3-D images. The VKH is an ongoing research; we will produce a female version of the VKH and provide more detailed segmented images. The data from the VHP, CVH, and VKH will provide valuable resources to the medical image library of 3-D images and software in the field of medical education and clinical trials.
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