[基于生成投影插曲的双域形束计算机断层扫描稀疏视图重建方法]
J Liao1,2, S Peng1,2, Y Wang1,2
1School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
|November 10, 2024
概括
本研究介绍了DualSFR-Net,这是一种用于稀疏视图圆束计算机断层扫描 (CBCT) 重建的新型框架. 双SFR-Net有效地减少了文物,显著提高了CBCT图像质量,以获得更好的诊断准确性.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 图像重建 图像的重建
背景情况:
- 稀疏视图圆束计算断层扫描 (CBCT) 对于降低辐射剂量至关重要,但受到人工物的影响.
- 现有的重建方法在平衡文物减少和图像质量保护方面扎.
研究的目的:
- 提出DualSFR-Net,一个双域CBCT重建框架,使用生成投影插值.
- 为了提高图像质量和减少稀疏视图CBCT重建中的文物.
主要方法:
- 双SFR-Net集成了一个生成投影插曲模块 (SPINet和FPRNet),一个域转换模块和一个图像恢复模块 (FIRNet).
- SPINet从稀疏的数据中合成全视图投影,FPRNet恢复这些投影,FIRNet微调图像以消除文物.
- 域转换模块包含了FDK重建和前置投影,用于梯度反向传播.
主要成果:
- 双SFR-Net成功地从牙科CT数据集上的稀疏视图数据中重建了高质量的CBCT图像.
- 该方法提高了高峰信号噪声比率 (PSNR) 高达0.7658和结构相似度指数 (SSIM) 高达0.0134,相比于在2倍和4倍稀疏协议下的现有方法.
结论:
- 拟议的生成投影基于插值的双域CBCT重建有效地减少了条纹文物.
- 双SFR-Net提高了图像质量,并使在稀疏视图CBCT重建中为双域网络提供了高效的联合培训.
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