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题名

Generating Synthetic X-ray Image Methods for Vascular Interventional Surgery

作者
DOI
发表日期
2024-08-07
ISSN
2152-7431
ISBN
979-8-3503-8808-4
会议录名称
会议日期
4-7 Aug. 2024
会议地点
Tianjin, China
摘要
The scarcity and difficulty in acquiring vascular interventional surgery data have hindered the development of this field. To address this challenge, we propose a novel application of the Deep Digitally Reconstructed Radiographs(DeepDRR) method for synthesizing X-ray images of vascular interventional surgery with guidewires. By merging predefined-shaped guidewires with computed tomography(CT) scan images, composite CT images containing guidewires can be obtained. The DeepDRR model is then used to project these images, producing corresponding X-ray images. Experimental results demonstrate that the synthesized X-ray images with guidewires possess a certain degree of realism and can be generated at a relatively fast speed, achieving 2.69 frames per second (FPS). This study establishes a pipeline for synthesizing vascular interventional images, laying a foundation for future research. This will provide high-quality and diverse data support for the development of vascular interventional surgery robots and promote further advancements in this field.
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成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/828736
专题工学院_电子与电气工程系
作者单位
1.The Aerospace-Center Hospital, School of Life-Science and the Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China
2.The Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
3.The Department of Peripheral-Vascular Intervention, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing, China
推荐引用方式
GB/T 7714
Bingzhi Shen,Shuxiang Guo,Chuqiao Lyu,et al. Generating Synthetic X-ray Image Methods for Vascular Interventional Surgery[C],2024.
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