VASCULAR NETWORK SEMI-AUTOMATIC SEGMENTATION - Using Computed Tomography Angiography
Petr Maule, Jiří Polívka, Jana Klečková
2010
Abstract
The article describes simple and straightforward method for vascular network segmentation of computed tomography examinations. Proposed method is shown step by step with illustrations on liver's portal vein segmentation. There is also described method of creating and exporting mesh and simple way of its visualization which is possible also from a web-browser. The method was developed to provide satisfactory results in a short time and is supposed to be used as geometry input for mathematical models.
References
- Vcelak P, Polivka J, Maule P, Kratochvil P and Kleckova J (2009). Experimental database system for the vascular brain diseases research. Frontiers in Neuroinformatics. Conference Abstract: 2nd INCF Congress of Neuroinformatics. doi: 10.3389/conf.neu ro.11.2009.08.002
- VRML Specification, http://www.web3d.org/x3d/vrml.
- A. Henderson. ParaView Guide, A Parallel Visualization Application. Kitware Inc., Clifton Park, NY, USA, 2007.
- Abramoff, M. D., Magelhaes, P. J., Ram, S. J. Image Processing with ImageJ. Biophotonics International, volume 11, issue 7, pp. 36-42, 2004.
Paper Citation
in Harvard Style
Maule P., Polívka J. and Klečková J. (2010). VASCULAR NETWORK SEMI-AUTOMATIC SEGMENTATION - Using Computed Tomography Angiography . In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT, ISBN 978-989-8425-22-5, pages 323-326. DOI: 10.5220/0002917203230326
in Bibtex Style
@conference{icsoft10,
author={Petr Maule and Jiří Polívka and Jana Klečková},
title={VASCULAR NETWORK SEMI-AUTOMATIC SEGMENTATION - Using Computed Tomography Angiography},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT,},
year={2010},
pages={323-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002917203230326},
isbn={978-989-8425-22-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT,
TI - VASCULAR NETWORK SEMI-AUTOMATIC SEGMENTATION - Using Computed Tomography Angiography
SN - 978-989-8425-22-5
AU - Maule P.
AU - Polívka J.
AU - Klečková J.
PY - 2010
SP - 323
EP - 326
DO - 10.5220/0002917203230326