Outlining of the detailed structures in sectioned images from Visible Korean
Sectioned images of cadavers enable creation of realistic three-dimensional (3D) models. In order to build a 3D model of a structure, the structure has to be outlined in the sectioned images. The outlining process is time consuming; therefore, users want to be provided with outlined images. The more detailed structures are outlined, the greater potential for wider application of the outlined images.
In the Visible Korean, sectioned images (intervals 0.2 mm) of the entire body of a male cadaver were prepared. In the available 1,702 sectioned images (intervals 1 mm), 937 structures were outlined over a period of 8 years. The outlined images were altered to black-filled images for each structure; black-filled images were selected for distribution in order to maintain small file sizes.
We attempted to determine whether black-filled images could be used in various situations. The outlines of these images were interpolated for production of new images at 0.2 mm intervals. The outlines were then filled with different colors for construction of color-filled images of all structures. Volume and surface reconstructions of the black-filled images were executed in order to build volume and surface models.
The black-filled images with corresponding sectioned images presented here are the source of realistic 3D models for use in medical simulation systems.
KeywordsVisible Human Projects Cadaver Frozen sections Computer-assisted image processing Three-dimensional imaging
- 2.Chen Y, Zhang J, Heng PA, Xia D (2008) Chinese Visible Human brain image segmentation. In: Proceedings of the 2008 Congress on Image and Signal Processing, pp 639–643Google Scholar
- 3.FCAT (Federative Committee on Anatomical Terminology) (1998) Terminologia Anatomica: International Anatomical Terminology. Thieme, Stuttgart, New YorkGoogle Scholar
- 4.Flores JM, Schmitt F (2005) Segmentation, reconstruction and visualization of the pulmonary artery and the pulmonary vein from anatomical images of the Visible Human Project. In: Proceedings of the Sixth Mexican International Conference on Computer Science, pp 136–144Google Scholar
- 5.Ghosh P, Mitchell M (2006) Segmentation of medical images using a genetic algorithm. In: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation Table of Contents, pp 1171–1178Google Scholar