Paper
12 April 2005 Aorta cross-section calculation and 3D visualization from CT or MRT data using VRML
Guenther Grabner, Robert Modritsch, Wolfgang Stiegmaier, Simon Grasser, Thomas Klinger
Author Affiliations +
Abstract
Quantification of vessel diameters of artherosclerotic or congenital stenosis is very important for the diagnosis of vascular diseases. The aorta extraction and cross-section calculation is a software-based application that offers a three-dimensional, platform-independent, colorized visualization of the extracted aorta with augmented reality information of MRT or CT datasets. This project is based on different types of specialized image processing algorithms, dynamical particle filtering and complex mathematical equations. From this three-dimensional model a calculation of minimal cross sections is performed. In user specified distances, the aorta is cut in differently defined directions which are created through vectors with varying length. The extracted aorta and the derived minimal cross-sections are then rendered with the marching cube algorithm and represented together in a three-dimensional virtual reality with a very high degree of immersion. The aim of this study was to develop an imaging software that delivers cardiologists the possibility of (i) furnishing fast vascular diagnosis, (ii) getting precise diameter information, (iii) being able to process exact, local stenosis detection (iv) having permanent data storing and easy access to former datasets, and (v) reliable documentation of results in form of tables and graphical printouts.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guenther Grabner, Robert Modritsch, Wolfgang Stiegmaier, Simon Grasser, and Thomas Klinger "Aorta cross-section calculation and 3D visualization from CT or MRT data using VRML", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.595307
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Cited by 1 scholarly publication.
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KEYWORDS
3D image processing

Particle filters

Particles

Visualization

Image processing

Angiography

Internet

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