An Integrated Model of the Human Body
Resumo
Currently there are digital anatomical atlases of the human body capable of providing interactively information on anatomical structures. These models, can use vector or raster representations. In both cases they present limitations.
Geographic information systems (GIS) have the characteristic of operating simultaneously with spatial and alphanumeric information. GIS features give the ability to operate efficiently with spatial information and conduct spatial analyses that combine the location of objects with their alphanumeric attributes.
In this work a three-dimensional GIS model of the human body was developed. The model integrates vector and matrix representations allowing the exploration of the human body, both on surface and in its interior. This system offers a high degree of interactivity and an accurate access to the information within the human body.
The results demonstrated the relevance and interest of the developed system in the study of the human body.
Texto Completo:
PDF (English)Referências
Abdul-Rahman, A. and Pilouk, M., Spatial data modelling for 3D GIS, Springer, 2008. Ackerman, M., The Visible Human Project, U.S. National Library of Medicine,
http://www.nlm.nih.gov/research/visible/visible_human.html, (2 June 2014), 1994.
Argosy Publishing, inc., The Visible Body, http://www.visiblebody.com/index.html (2 June 2014), 1996.
Barbeito, A., Cabral, P. and Painho, M., “Human body modeling in geographic information systems”, Information Systems and Technologies (CISTI), 1, 6 (2011), 110-115.
DeMers, M., GIS Modeling in Raster, John Wiley and Sons, Inc, 2002.
a CAPSI/2014 -Artigos-
Duncan, E. and Abdul-Rahman, A., “3D GIS for mine development – integrated concepts”, International Journal of Mining, Reclamation and Environment, (2013), 1-16.
Heywood, D. Cornelius, S. and Carver, S., An introduction to geographical information systems, Addison Wesley Longman, 1998.
Kazhdan, M. and Hoppe, H., “Screened Poisson surface reconstruction”, ACM Transactions on Graphics, (2013).
Kim, S.-H. and Chung, K.-Y., “Medical information service system based on human 3D anatomical model”, Multimedia Tools and Applications, (2013), 1-12.
Spanel, M. and Krsek P., “Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation”. Sixth IASTED International Conference on Visualization, Imaging, and Image Processing, (2006).
Suwardhi, D. and Setan, H., “3D Geo-database Implementation using Craniofacial Geometric Morphometrics Database System”, In Innovations in 3D Geo Information Systems, (2006), 279- 294.
Swartz, A., Open Library, https://openlibrary.org, (2 June 2014), 2006.
Valacich, J.S. and Schneider, C., Information Systems Today, Prentice Hall: Englewood Cliffs, 2011.
Vongkornvoravej, P. Roongmangsorakarn, S. Chaisaowong, K., Segmentation of Medical Images from Computerized Tomography to Create a 3-Dimensional Model of Human Skull, King Mongkut’s Institute of Technology North Bangkok, 2006.
Wang, Y. Wu, L. Shi, W. and Li, X., “3D integral modeling for city surface & subsurface”, Innovations in 3D Geo Information Systems, (2006), 95-105.
Yuan, Y. Qi, L. N. and Luo, S. Q., “The reconstruction and application of virtual Chinese human female”, Computer Methods and Programs in Biomedicine, 92, 3 (2008), 249-256.
DOI: http://dx.doi.org/10.18803/capsi.v14.30-45
Apontamentos
- Não há apontamentos.