Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610015(2022)
2D-3D Medical Image Registration Based on Training-Inference Decoupling Architecture
[1] Zhang Y G, Qiu X P, Chen W J et al. Dosimetry influence study on head & neck cancer clinical placement error based on image guided radiotherapy technique[J]. Chinese Journal of Medical Physics, 32, 25-30(2015).
[2] Zhang D, Huang H, Shang Z H. Nonrigid image registration algorithm based on mutual information Active Demons[J]. Laser & Optoelectronics Progress, 57, 161009(2020).
[3] Zhang R, Wang L, Xia W et al. Comparison of similarity measurement and optimization methods in 2D/3D image registration[J]. Laser & Infrared, 44, 98-102(2014).
[4] Liu K, Lü X Q, Gu Y et al. The 2D/3D medical image registration algorithm based on rapid digital image reconstruction[J]. Journal of Image and Graphics, 21, 69-77(2016).
[5] Song T, Cao L B, Zhao M F et al. Registration and optimization algorithm of key points in three-dimensional point cloud[J]. Laser & Optoelectronics Progress, 58, 0415008(2021).
[9] Chen X Q, Guo X Q, Zhou G et al. 2D/3D medical image registration using convolutional neural network[J]. Chinese Journal of Biomedical Engineering, 39, 394-403(2020).
[10] Jia R M, Li H X, Chen Y et al. Preoperative CT angiography and intraoperative X-ray image registration algorithm for thoracic aortic endovascular repair[J]. Chinese Journal of Tissue Engineering Research, 23, 5658-5663(2019).
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Wenjü Li, Deqing Kong, Guogang Cao, Sicheng Li, Cuixia Dai. 2D-3D Medical Image Registration Based on Training-Inference Decoupling Architecture[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610015
Category: Image Processing
Received: Nov. 16, 2021
Accepted: Feb. 25, 2022
Published Online: Aug. 8, 2022
The Author Email: Guogang Cao (guogangcao@163.com)