Abstract
In this paper, we offer a virtual bronchoscopy simulator as an assistance exploration tool and diagnosis of peripheral lung nodule lesions. We present a proposal for motion planning to a interest region in the lung nodule based on RRT. Navigation will be guided by this path in a 3d virtual lung reconstructed from CT images. We compare several RRT-algorithm looking for the optimal option for the virtual bronchoscopy problem.
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CITATION STYLE
Aguilar, W. G., Abad, V., Ruiz, H., Aguilar, J., & Aguilar-Castillo, F. (2017). RRT-based path planning for virtual bronchoscopy simulator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10325 LNCS, pp. 155–165). Springer Verlag. https://doi.org/10.1007/978-3-319-60928-7_13
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