Endoscopy is a popular procedure which helps surgeons investigate the interior of a patient’s organ and find abnormalities (e.g., polyps). However, it requires a great expertise using only a stream of 2D images of the interior, and there is a possibility that the physician will miss some polyps. Instead, a 3D reconstruction of the interior surface of the organ will be very helpful. It turns the stream of 2D images into a meaningful 3D model. The physicians could then spend more time scrutinizing the interior surface. In addition, the 3D reconstruction result will provides more details about the patient’s organ (e.g., concavity/convexity, a coordinate system and 3D measurements), and could be saved for later uses. In a related work, Helferty et al. [HZMH01, HH02] have used a CT-based virtual endoscopic registration technique to guide the bronchoscopic needle biopsy. Winter et al. [WSRW05] also proposed a reconstruction scheme enhanced by a data-driven filtering and a knowledge driven extension.
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Kaufman, A., Wang, J. (2008). 3D Surface Reconstruction from Endoscopic Videos. In: Linsen, L., Hagen, H., Hamann, B. (eds) Visualization in Medicine and Life Sciences. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72630-2_4
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