Incorporation of 3D model and panoramic view for gastroscopic lesion surveillance

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Abstract

Natural Orifice Transluminal Endoscopic Surgery (NOTES) is widely used for clinical diagnoses. However, NOTES has two main problems: difficulties brought by endoscope’s flexibility and narrow view of endoscope. Image-guided system is helpful to deal with these problems. In our previous work, a computer aided endoscopic navigation system (CAEN) was developed for gastroscopic lesion surveillance. In this paper, 3D model and panoramic view are incorporated into CAEN with three improvements: selection of reference and tracking features; perspective projection for constructing local and global panoramic view; 3D surface modeling using structure from motion. The system is evaluated from three clinic applications: broadening the view, non-invasive retargeting, and overall lesion locations. The evaluation results show that the mean accuracy of broadening the view is 0.43 mm, the mean accuracy of non-invasive retargeting is 7.5 mm, and the mean accuracy for overall lesion diagnosis is 3.71 ± 0.35 mm.

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APA

Zong, Y., Hu, W., Liu, J., Zhang, X., Wang, B., Duan, H., & Si, J. (2015). Incorporation of 3D model and panoramic view for gastroscopic lesion surveillance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9218, pp. 438–445). Springer Verlag. https://doi.org/10.1007/978-3-319-21963-9_40

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