JBiSE  Vol.5 No.12 A , December 2012
Framework for development of three-dimensional digital atlas of human anatomy
ABSTRACT

Objectives: The overall aim is to propose a general framework to build any kind of interactive digital atlas. It can be used either as pedagogical support to study human anatomy or as a tool to aid health professionals improving the quality of the human resources formation. Methods: To illustrate the use of the proposed methodology was build an atlas of intracranial human anatomy. We used 3D surface rendering techniques to create a brain atlas that would allow us to correlate bi-dimensional MRI images with 3D brain structures. Results: The system was coded in Java and distributed under GNU/GLP license, making it available to use and/or to expand and serve as an educational tool allow medical students to use it to evaluate the special relationships among structures. Conclusions: The characteristics of the obtained Atlas are essential in the Brazilian public health context, where professionals in several different geographical locations (submitted to distinct informatics infrastructure) need to be trained.


Cite this paper
De Zorzi Dalke, D. , Regattieri, N. , Dorini, L. , Ortolan, L. , Borba, P. and Amaral, M. (2012) Framework for development of three-dimensional digital atlas of human anatomy. Journal of Biomedical Science and Engineering, 5, 807-812. doi: 10.4236/jbise.2012.512A101.
References
[1]   Putz, R. and Pabst, R. (2006) Sobotta: Atlas of human anatomy. Guanabara Koogan, Rio de Janeiro.

[2]   Yokochi, C., Rohen, J.W. and Lutjen-Drecoll, E. (2002) Color atlas of anatomy: A photographic study of the human body. 5th Edition, Lippincott Williams & Wilkins, Philadelphia.

[3]   Tardif, M. and Raymond, D. (2000). Saberes, tempo e aprendizagem do trabalho no magistério. Educac?o & Sociedade, 73, 209-244.

[4]   Cunha, I.L.L., Monteiro, B.S., Moraes, R.M. and Machado, L.S. (2006) AnatomI 3D: Um atlas digital baseado em realidade virtual para ensino de medicina. Proceedings of Symposium on Virtual Reality (SVR’2006), Belém, 3-14.

[5]   Chao, L.W. and Bohm, G.M. (2003) Homem virtual. http://www.projetohomemvirtual.com.br

[6]   Techno Softwares (2004) A.D.A.M. Interactive Atlas. CD-ROM.

[7]   Primal Pictures (2001) Anatomy.tv. http://www.anatomy.tv/default.aspx

[8]   Innerbody (2003) Human anatomy. http://www.innerbody.com/htm/body.html.

[9]   SIG (1999) The digital anatomist information system, University of Washington, Structural Informatics Group. http://www.sig.biostr.washington.edu/projects/da/

[10]   Kriete, A., Berger, L.C., Stallkamp, J., Wapler, M. et al. (1999) An interactive, functional Atlas of Human Anat- omy: Principles for modelling and simulation. In: Simula- tion and Visualization, SCS-Verlag, Magdeburg, 215-224.

[11]   H?hne, K.H., et al. (1992) A 3D anatomical atlas based on a volume model. IEEE Computer Graphics and Ap- plications, 12, 72-78.

[12]   Pommert, A., Schubert, R., Riemer, M., Schiemann, T., Tiede, U. and H?hne, K.H. (1994) Symbolic modeling of human anatomy for visualization and simulation. IEEE Viualization in Biomedical Computer, 2359, 412-423.

[13]   Tiede, U., Bomans, M., Hohne, K.H., et al. (1993) A computerized three-dimensional atlas of the human skull and brain. American Journal of Neuroradiology, 14, 551- 559

[14]   Kikinis, R., Shenton, M.E., Iosifescu D.V., et al. (1996) A digital brain atlas for surgical planning, model driven segmentation, and teaching. IEEE Transactions on Visualization and Computer Graphics, 2, 232-241. doi:10.1109/2945.537306

[15]   Xiang, Z., Dazhi, Z., Jinwen, T. andJian, L. (2002) A hybrid method for 3D segmentation of MRI brain images. Proceedings of the 6th International Conference on Signal Processing (ICSP’02), Beijing, 26-30 August 2002, 608-611.

 
 
Top