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Accelerated Digitally Reconstructed Radiograph Generation Scheme for 2D to 3D Image Registration of Vertebrae Based on Sparse Sampling and Multi-Resolution

机译:基于稀疏采样和多分辨率的椎骨2D到3D图像配准的加速数字重建射线照相生成方案

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Recent advancements in spine surgery use image guided intervention systems to enhance surgical accuracy for incorporating pedicle screw constructs. Two-dimensional (2D) to three-dimensional (3D) image registration helps in treatment planning and verification by mapping the Digitally Reconstructed Radiograph (DRR) images, rendered from 3D CT volumetric data to 2D C-arm images. Conventional approach of ray casting which is followed for DRR generation helps to reduce the risk of wrong site surgery and provide superior accuracy. However, it consumes significant amount of time due to complex computational intensity. An effective method is proposed to reduce the time taken for DRR generation by exploiting the redundant information hidden in the CT images with the help of sparse sampling and multi-resolution using Discrete Wavelet Transform. Beginning with 2D to 3D image registration methods, this study emphasizes on acceleration of DRR by spatial and temporal resolution of sagittal slices of the CT data, while maintaining the quality consistent with that needed for image registration. This method was found to generate DRR at a much faster rate of 84%.
机译:脊柱外科手术的最新进展是使用图像引导的介入系统来提高合并椎弓根螺钉构造的手术准确性。二维(2D)到三维(3D)图像配准通过将从3D CT体积数据渲染的数字重建射线照片(DRR)图像映射到2D C臂图像来帮助进行治疗计划和验证。产生DRR所遵循的常规射线投射方法有助于降低错误手术部位的风险,并提供卓越的准确性。但是,由于复杂的计算强度,因此会消耗大量时间。提出了一种有效的方法,通过利用离散小波变换的稀疏采样和多分辨率,利用隐藏在CT图像中的冗余信息来减少DRR生成所花费的时间。从2D到3D图像配准方法开始,本研究着重于通过CT数据矢状切面的时空分辨率加速DRR,同时保持与图像配准所需的质量一致。发现该方法以更快的84%的速率生成DRR。

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