no code implementations • 8 Feb 2024 • Minheng Chen, Tonglong Li, Zhirun Zhang, Youyong Kong
While artificial intelligence technology has advanced rapidly in recent years, traditional optimization-based registration methods remain indispensable in the field of 2D/3D registration. he exceptional precision of this method enables it to be considered as a post-processing step of the learning-based methods, thereby offering a reliable assurance for registration.
1 code implementation • 4 Feb 2024 • Minheng Chen, Zhirun Zhang, Shuheng Gu, Zhangyang Ge, Youyong Kong
Image-based rigid 2D/3D registration is a critical technique for fluoroscopic guided surgical interventions.
1 code implementation • 10 May 2023 • Minheng Chen, Zhirun Zhang, Shuheng Gu, Youyong Kong
We present a novel deep learning-based framework: Embedded Feature Similarity Optimization with Specific Parameter Initialization (SOPI) for 2D/3D medical image registration which is a most challenging problem due to the difficulty such as dimensional mismatch, heavy computation load and lack of golden evaluation standard.