Real-Color Volume Models Made from Real-Color Sectioned Images of Visible Korean

• Published in: Journal of Korean medical science Vol. 34; no. 10; pp. e86 - 10
• Main Authors: Chung, Beom Sun, Park, Jin Seo
• Format: Journal Article
• Language: English
• Published: Korea (South) The Korean Academy of Medical Sciences 18.03.2019; 대한의학회
• Subjects: Anatomy, Cross-Sectional - methods; Asians; Brain - anatomy & histology; Brain - diagnostic imaging; Humans; Imaging, Three-Dimensional; Male; Models, Educational; Original; Republic of Korea; User-Computer Interface; 의학일반; Republic of Korea; Cross-Sectional Anatomy; Three-Dimensional Imaging; Visible Human Projects; Computer Simulation
• ISSN: 1011-8934; 1598-6357; 1598-6357
• DOI: 10.3346/jkms.2019.34.e86

Volume models made from magnetic resonance images on computed tomographs can produce horizontal, coronal, sagittal, and oblique planes that are used widely in clinics, although detailed structures cannot be identified. Existing real color volume models are mostly commercial and their production methods have not been released. The aim of this study was to distribute free of charge, real-color volume models produced from sectioned images with the production method. The original voxel size of sectioned images was increased appropriately so that the volume model could be handled by typical personal computers. By using Dicom Browser and MRIcroGL, the sectioned images were processed to become the volume models. On the MRIcroGL, the resultant volume model with the voxel size of 0.5 × 0.5 × 0.5 mm could be displayed and freely rotated. By adjusting variables of the software, desired oblique planes could be produced instantly. With overlay function, a model of segmented structure can be overlapped to the entire volume models. The sectioned images with high quality and the segmentation data of Visible Korean enabled the identification of detailed anatomical structures on the planes. The volume models can be used by medical students and doctors for learning sectional anatomy. Other researchers can utilize the method of this study to produce volume models from their own sectioned images.