Visualization of the medical imaging data in 3D space using portable format

Dominik Gaweł; Paweł Główka; Michał Nowak; Tomasz Kotwicki; Dominik Gaweł; Paweł Główka; Michał Nowak; Tomasz Kotwicki

doi:10.3934/bioeng.2016.2.176

AIMS Bioengineering

2016, Volume 3, Issue 2: 176-187. doi: 10.3934/bioeng.2016.2.176

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Research article

Visualization of the medical imaging data in 3D space using portable format

1.
Chair of Virtual Engineering, Poznan University of Technology, Poznan, Poland
2.
Department of Pediatric Orthopaedics and Traumatology, University of Medical Sciences, Poznan, Poland

Received: 13 January 2016 Accepted: 08 May 2016 Published: 11 May 2016

Medical imaging is a set of specific examination procedures taking advantage of physical effects for determination of changes that occurred in patient’s body. It’s a domain of biomedical engineering to define the methods of acquiring, analyzing and visualizing medical images in the way useful for diagnostic, therapeutic, educational or research purposes. This work describes an effective method of automatic creation of 3D objects from the DICOM images.
At the beginning DICOM images are read. Then tissues are segmented with a simple thresholding algorithm and filtered. After filtering preliminary 3D model is created. Afterwards obtained geometry is smoothed and decimated to relax the model and reduce the size of data. Such prepared model is embedded into PDF file with use of additional scripts. As the result of this work software called DICOM2PDF3D, combining described above stages of building 3D model in a single procedure, was developed. With use of 3D PDF additional measurements of created geometry were made. Measurements confirmed values obtained from standard preoperative evaluation.
The presented solution allows creating and opening three-dimensional visualizations on every desktop computer even by inexperienced users. Created 3D PDF can be used for preoperative evaluation as an assistance for standard procedures.
- medical imaging,
- visualization,
- 3D PDF,
- preoperative evaluation,
- DICOM
Citation: Dominik Gaweł, Paweł Główka, Michał Nowak, Tomasz Kotwicki. Visualization of the medical imaging data in 3D space using portable format[J]. AIMS Bioengineering, 2016, 3(2): 176-187. doi: 10.3934/bioeng.2016.2.176

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Abstract

Medical imaging is a set of specific examination procedures taking advantage of physical effects for determination of changes that occurred in patient’s body. It’s a domain of biomedical engineering to define the methods of acquiring, analyzing and visualizing medical images in the way useful for diagnostic, therapeutic, educational or research purposes. This work describes an effective method of automatic creation of 3D objects from the DICOM images.
At the beginning DICOM images are read. Then tissues are segmented with a simple thresholding algorithm and filtered. After filtering preliminary 3D model is created. Afterwards obtained geometry is smoothed and decimated to relax the model and reduce the size of data. Such prepared model is embedded into PDF file with use of additional scripts. As the result of this work software called DICOM2PDF3D, combining described above stages of building 3D model in a single procedure, was developed. With use of 3D PDF additional measurements of created geometry were made. Measurements confirmed values obtained from standard preoperative evaluation.
The presented solution allows creating and opening three-dimensional visualizations on every desktop computer even by inexperienced users. Created 3D PDF can be used for preoperative evaluation as an assistance for standard procedures.

References

[1]	Nowak M (2010) On some properties of bone functional adaptation phenomenon useful in mechanical design. Acta Bioeng Biomech 12: 49–54.
[2]	Tundyk MA, Barron V, McHugh PE, et al. (2007) Generation of a finite element model of the thoracolumbar spine, Acta Bioeng Biomech 9: 35–46.
[3]	Marciniec A., Miechowicz S. (2004) Stereolitography – the choice for medical modeling. Acta Bioeng Biomech 6: 13–24.
[4]	Gaweł D (2012) Automatyzacja procesu budowania trójwymiarowych obiektów na podstawie obrazowania medycznego. [Master's thesis] Poznan University of Technology.
[5]	Botha C, Post F (2003) Hybrid Scheduling in the DeVIDE Dataflow Visualisation Environment. Available from: https://www.researchgate.net/publication/221510642_Hybrid_Scheduling_in_the_DeVIDE_Dataflow_Visualisation_Environment
[6]	Taubin G, Zhang T, Golub G (1996) Optimal Surface Smoothing as Filter Design, IBM T.J. Watson Research Center. Available from: http://mesh.brown.edu/taubin/pdfs/taubin-etal-ibm20404.pdf
[7]	Schroeder WJ, Zarge J, Lorensen W (1992) Decimation of Triangle Meshes, ACM SIGGRAPH Comput Graph 26: 65–70.
[8]	Cignoni P, Corsini M, Ranzuglia G (2008) MeshLab: an Open-Source 3D Mesh Processing System. Ercim News 73: 47–48.
[9]	Mittelbach F (2004) The LaTeX Companion, 2nd Edition. Available from: https://latex-project.org/guides/tlc2-ch0.pdf
[10]	Ecma International (2007) Universal 3D File Format. Available from: http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-363%203rd%20edition.pdf

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