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Nov, 2023
基于场景坐标回归的X光至CT刚体配准
X-Ray to CT Rigid Registration Using Scene Coordinate Regression
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Pragyan Shrestha, Chun Xie, Hidehiko Shishido, Yuichi Yoshii, Itary Kitahara
TL;DR
该研究提出了一种完全自动的注册方法,基于卷积神经网络,用于将术中获得的X光图像与预先获得的三维模型进行对齐,从而降低术中图像中重叠解剖结构对外科医生的心理负担。实验结果表明,该方法在盆腔注册中的平均目标配准误差为3.79毫米,在真实的术中X光图像中的投影下平均目标配准误差为9.65毫米。
Abstract
intraoperative fluoroscopy
is a frequently used modality in minimally invasive orthopedic surgeries. Aligning the intraoperatively acquired
x-ray image
with the preoperatively acquired
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