基于小波变换的多分辨率锥束CT图像快速三维重建算法

发布时间：2019-07-12 17:56

【摘要】：为了解决FDK重建算法在锥束CT重建中运算量大,耗时较多,以及针对不同的应用环境提供不同分辨率的3维医学图像问题,该文提出一种基于小波变换的多分辨率锥束CT图像快速3维重建算法。首先对采集到的投影图像进行相应尺度的小波变换,得到各尺度小波分解系数,选择相应尺度的小波系数进行FDK重建,可以得到相应低分辨率的3维图像数据,还可根据需要由得到的低分辨率重建数据分别沿着径向取断层图像,进行相应的小波逆变换,进而得到高分辨率的3维图像数据。实验数据表明,该方法不仅能够得到不同分辨率的3维图像数据,而且相较于传统的FDK算法生成分辨率相同、精度相近的高分辨率3维图像数据,重建速度可以提高1倍以上。
[Abstract]:In order to solve the problem of large computation and time-consuming of FDK reconstruction algorithm in cone-beam CT reconstruction, and to provide different resolution 3D medical images for different application environments, a fast 3D reconstruction algorithm for multi-resolution cone-beam CT images based on wavelet transform is proposed in this paper. Firstly, the corresponding scale wavelet transform is carried out on the captured projection image, and the wavelet decomposition coefficients of each scale are obtained, and the corresponding low-resolution 3D image data can be obtained by selecting the corresponding scale wavelet coefficients for FDK reconstruction. According to the needs, the low-resolution reconstruction data can be taken along the radial direction of the fault image, and the corresponding wavelet inverse transform can be carried out, and then the high-resolution 3D image data can be obtained. The experimental data show that this method can not only obtain 3D image data with different resolutions, but also can improve the reconstruction speed by more than twice compared with the traditional FDK algorithm with the same resolution and similar precision.
【作者单位】：山东大学信息科学与工程学院;山东师范大学物理与电子科学学院;
【基金】：国家自然科学基金(61471226) 山东省自然科学杰出青年基金(JQ201516)~~
【分类号】：TP391.41

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