2D/3D registration method between fluorescence molecular tomography and computed tomography
WANG Kunpeng
CHEN Chunxiao
MENG Ruoyu
XIAO Yueyue
WANG Liang
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.
Keywords：2D/3D registrationFMT/CT registrationDeep learningGradient descentDifferentiable rendering
Publication Date：2024-10-28
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：7( 362-368 )