在X射线声学计算机断层扫描中,使用扩散模型进行频率感知无声化,以加强带限和白噪声的去除
Jiayuan Peng1,2,3, Mengyang Lu1, Boyi Li4
1Academy for Engineering and Technology, Fudan University, Shanghai, China.
Medical physics
|February 10, 2025
概括
一种新的频率感知消除 (FAD) 方法通过减少射频 (RF) 信号中的噪声,显著改善了X射线声学计算机断层扫描 (XACT). 这提高了内部辐射剂量检测的图像质量和准确性.
科学领域:
- 医学物理 医学物理
- 生物医学成像技术 生物医学成像技术
- 辐射瘤学 辐射瘤学
背景情况:
- 精确测量内部组织辐射剂量至关重要,但与当前的外部方法具有挑战性.
- 射线声学计算机断层扫描 (XACT) 通过热声学信号重建剂量分布,但噪声会降低图像质量.
- 较长的X射线脉冲宽度降低了射频 (RF) 信号中的信号噪声比 (SNR),阻碍了XACT的准确性.
研究的目的:
- 开发一种频率感知无声化 (FAD) 方法,以减轻XACT射频信号中的带限和白噪声.
- 为了提高XACT成像的信号噪声比 (SNR) 和空间精度,用于辐射剂量检测.
主要方法:
- 从XACT系统采集真实射频信号,使用大电压 (MV) 射线和水箱.
- 估计的频谱PDF生成合成噪声RF数据用于训练条件扩散模型 (FAD).
- 在无色化XACT图像上测试FAD,评估SNR和马通过率与原始RF和BNR-RF方法相比.
主要成果:
- 与其他方法相比,FAD-RF产生了具有优越结构细节和更少文物的XACT图像.
- 实现了最高的平均SNR (27.6 ± 5.0),显著超过原始RF (22.9 ± 2.2) 和BNR-RF (22.0 ± 3.0).
- 在空间准确性方面,证明了显著更高的平均马通道率 (79.0%±2.4%).
结论:
- 在FAD-RF方法有效地抑制噪声只使用射频信号,证明实用在现实世界的应用.
- 这种方法提高了XACT图像重建中的空间精度,提升了体内辐射剂量检测能力.
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