计算机科学
计算机视觉
图像配准
射线照相术
人工智能
超声波
预处理器
相互信息
去模糊
医学
放射科
图像处理
图像(数学)
图像复原
作者
Weiwei Jiang,Qiaolin Xie,Yingyu Qin,Xiaojun Ye,Xiaoyan Wang,Yong‐Ping Zheng
出处
期刊:Ultrasonics
[Elsevier]
日期:2023-04-20
卷期号:133: 107018-107018
被引量:2
标识
DOI:10.1016/j.ultras.2023.107018
摘要
Ultrasound is a promising imaging method for scoliosis evaluation because it is radiation free and provide real-time images. However, it cannot provide bony details because ultrasound cannot penetrate the bony structure. Therefore, registration of real-time ultrasound images with the previous X-ray radiograph can help physicians understand the spinal deformity of patients. In this study, an improved free-from deformation registration method based on mutual registration and hierarchical adaptive grid (MRHA-FFD) was developed. The method first performed registration grid preprocessing and then optimized control points and conducted mutual registration. Finally, a Blur-aware Attention Network was adopted for image deblurring. The performance of each step was verified by ablation experiments. Comparison experiment between the proposed method and traditional registration methods was also conducted. The qualitative and quantitative results suggested that MRHA-FFD is a promising approach for registering spine ultrasound image and X-ray radiograph.
科研通智能强力驱动
Strongly Powered by AbleSci AI