Abstract
This paper shows a method for detecting regions that the system did not display during the fly-through of a virtual endoscope system (VES) and quantitative evaluation of undisplayed regions in virtual colonoscopy. When we use the VES as a diagnostic tool, especially as a tool for detecting colon polyps, a user often performs automated fly-through based on automatically generated paths. In the case of automated fly-through in the colon, there are some blind areas at the backs of folds. The aim of this study is to detect undisplayed regions during fly-through and to perform quantitative evaluation. After the fly-through, the system shows undisplayed regions and notifies the user of the existence of unobserved regions together with the rate of undisplayed regions. We evaluate various kinds of automated fly-through paths generated from medial axes of the colon and flattened views of the colon from the viewpoint of the rate of undisplayed regions. The experiment results show that about 30% of colon regions are classified as undisplayed regions by the conventional automated fly-through along the medial axis and that the flattened view results in very few undisplayed regions.
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Hayashi, Y., Mori, K., Hasegawa, Ji., Suenaga, Y., Toriwaki, Ji. (2002). A Method for Detecting Undisplayed Regions in Virtual Colonoscopy and Its Application to Quantitative Evaluation of Fly-Through Methods. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45787-9_79
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DOI: https://doi.org/10.1007/3-540-45787-9_79
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