Serially Sectioned Images of the Whole Body - Sixth Report: Browsing Software of the Serially Sectioned Images for Learning Sectional Anatomy.
- Author:
Jin Seo PARK
1
;
Min Suk CHUNG
;
Hubert CHOE
;
Ho Young BYUN
;
Jay HWANG
;
Byeong Seok SHIN
;
Hyung Seon PARK
Author Information
1. Department of Anatomy, Ajou University School of Medicine, Suwon, Korea. dissect@ajou.ac.kr
- Publication Type:Original Article
- Keywords:
Whole body;
Serially sectioned images;
Sectional anatomy;
Software;
Anatomical images;
Magnetic resonance images;
Computed tomography images
- MeSH:
Anatomy, Cross-Sectional*;
Cadaver;
Humans;
Learning*;
Male;
Students, Medical
- From:Korean Journal of Anatomy
2006;39(1):35-45
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Sectional anatomy is the course to learn anatomical structures on the sectional planes of cadaver. The purpose of this research is to make browsing software of the serially sectioned images, which is useful not only to learn sectional anatomy but also to learn magnetic resonance (MR) images and computed tomography (CT) images. One-thousand seven-hundred two sets of corresponding anatomical, MR, CT, and segmented images (intervals 1 mm) were selected from the serially sectioned images (horizontal direction) of a Korean male cadaver's whole body. We composed browsing software (file size 377 MBytes) of the images, which involved the following functions: The anatomical, MR, CT, and segmented images, which were always corresponding, were displayed; one of four images could be enlarged; images of interesting levels could be displayed in a real time conveniently either using software buttons, scroll bar, image number or using computer keyboard; names of the 13 anatomical structures, which were already segmented, could be displayed. By using this software, medical students and doctors can figure out stereoscopic anatomical structures from the anatomical images to review anatomy; they can compare MR and CT images with corresponding anatomical images to easily recognize anatomical structures in the MR and CT images.
