生物医学工程研究2024，Vol.43Issue(5)：362-368,7.DOI:10.19529/j.cnki.1672-6278.2024.05.03
荧光分子断层成像与计算机断层成像的2D/3D配准方法研究
2D/3D registration method between fluorescence molecular tomography and computed tomography
王昆鹏 1陈春晓 1孟若愚 1肖月月 1王亮1
作者信息
- 1. 南京航空航天大学 生物医学工程系,南京 211106
- 折叠
摘要
Abstract
Considering the difficult registration due to the differences in dimension and style between fluorescence molecular tomo-graphy(FMT)optical images and computed tomography(CT)images,we proposed a two-stage registration method based on task re-gression coarse registration and gradient descent fine registration.In the coarse registration stage,a target pose prediction model RR-Net was utilized to quickly estimate the initial pose parameters.In the fine registration stage,a differentiable imaging rendering module was employed to iteratively train based on the coarse registration results,rapidly converging to precise registration results.The experi-ments were conducted on 238 140 contour images from public data and laboratory-collected data to validate the effectiveness of the pro-posed registration method.The experimental results showed that the proposed 2D/3D registration method in the registration of FMT opti-cal images and CT images registration,the similarity coefficient and average target registration error could reached 0.96±0.03,(1.14±0.83)mm,respectively.The registration effect and stability of this research are better than that of the traditional methods.关键词
2D/3D配准/FMT/CT配准/深度学习/梯度下降/可微渲染Key words
2D/3D registration/FMT/CT registration/Deep learning/Gradient descent/Differentiable rendering分类
医药卫生引用本文复制引用
王昆鹏,陈春晓,孟若愚,肖月月,王亮..荧光分子断层成像与计算机断层成像的2D/3D配准方法研究[J].生物医学工程研究,2024,43(5):362-368,7.
