3D Pose Estimation of the Catheter based on Single X-ray Image

Other Titles
단일 X-ray 영상 기반 카테터 위치 추정
Authors
Ryu, Jegyeong한경원Lee, Deuk hee
Issue Date
2023-08-25
Publisher
Society for Computational Design and Engineering
Citation
한국CDE학회 2023 하계학술대회 (2023 Summer Conference of Society for Computer Design and Engineering)
Abstract
In minimal invasive surgery, catheter plays a big role to access deep inside the body using small holes. For successful surgeries, the accurate positioning of the catheter during surgery is needed. Various catheter tracking methods have been discussed, however, it resulted in high exposure or shape needs to be decided in prior. Here, we suggest a novel method to track the 3D position of a catheter without knowing the shape of the catheter in prior and with single-view images to lower X-ray irradiation. By conducting real-world experiments, we have shown that the proposed method successfully tracks the catheter, with an error less than 2mm. The further research will lead to a robust and accurate tracking of catheter, increasing successful operations and enabling more challengeable surgeries.
URI
https://pubs.kist.re.kr/handle/201004/76395
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KIST Conference Paper > 2023
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