Paper
21 May 2001 Evaluation of virtual endoscopy for exploratory navigation inside vascular structures
Pascal Haigron, Antoine Lucas, Loic Quiniou, Alain Mom
Author Affiliations +
Abstract
The purpose of this study is the evaluation of a virtual endoscopy system, which provides new possibilities for the exploration of vascular structures from standard 3D patient images. The proposed exploratory navigation approach is based on the local image computation without preprocessing for 3D volume data sets. A statistic analysis has been used to evaluate both the quality of the computed virtual images and the influence of the associated parameters according to clinical criteria. An indirect evaluation of the considered virtual endoscopy technique is performed: the virtual images are qualified subjectively by several observers in order to estimate a degree of stenosis. The different values of the image parameters can lead to significant differences of interpretation. We have shown the influence of the different parameters on the image interpretation and how to fix them. The identification of significant image parameters obtained by a limited number of cases allowed us to define a reliable evaluation protocol. Its application to a set of twenty patients has been used to validate the image computation process and has shown that it was possible to characterize stenosis, in an operator independent way, from CT volumes acquired under clinical routine conditions.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pascal Haigron, Antoine Lucas, Loic Quiniou, and Alain Mom "Evaluation of virtual endoscopy for exploratory navigation inside vascular structures", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428130
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Cited by 1 scholarly publication.
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KEYWORDS
Endoscopy

Image processing

Data modeling

Sensors

Statistical analysis

Navigation systems

3D image processing

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