基于训练-推理解耦架构的2d-3d医学图像配准

Wenjü, 李文举 Li; Deqing, 孔德卿 Kong; Guogang, 曹国刚 Cao; Sicheng, 李思诚 Li; Cuixia, 戴翠霞 Dai

doi:10.3788/lop202259.1610015

激光与光电子学进展

2022

DOI: 10.3788/lop202259.1610015

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基于训练-推理解耦架构的2d-3d医学图像配准

李文举 Li Wenjü¹,

孔德卿 Kong Deqing²,

曹国刚 Cao Guogang³

et al.

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多模态图像引导手术导航进展

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Wang Yuanyuan,

Ai Danni

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多模态图像引导手术导航进展

Yang Jian,

Wang Yuanyuan,

Ai Danni

et al. 2023

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基于无监督学习的风洞压敏漆图像配准算法

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Shi Hailiang

et al. 2024

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structure and a coarsetofine registration strategy to address the issue of large offsets and nonrigid deformations in wind tunnel environments. Additionally, it incorporates a novel loss function paradigm based on image similarity, which enhances image registration in featuresparse scenarios. Comparing with typical alignment methods such as MI -Spline and Voxelmorph on two sets of PSP images, the experimental results prove that our method achieves a far better registration performance than the existing methods in visual evaluation and RMSE, NCC, and TRE metrics, under the premise of ensuring the performance of the algorithm. This method provides a reliable solution to the PSP image registration problem .

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基于结构光和ct的背部点云配准算法

Shen Chunmei,

Liu Fan,

Zhu Jiale

2023

激光与光电子学进展

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基于训练-推理解耦架构的2d-3d医学图像配准

Cited by 3 publications

References 0 publications

多模态图像引导手术导航进展

多模态图像引导手术导航进展

基于无监督学习的风洞压敏漆图像配准算法

基于结构光和ct的背部点云配准算法

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