Si Young Yie;Keon Min Kim;Sangjin Bae;Jae Sung Lee
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引用次数: 0
摘要
全身正电子发射计算机断层扫描(TB PET)系统的引入是无创成像领域的一大进步,它提高了湮灭光子检测灵敏度,使正电子发射计算机断层扫描(PET)图像的质量更接近解剖图像。这样就能减少扫描时间或辐射剂量,并最终通过去噪改善其他 PET 图像。本研究调查了损失函数的影响:均方误差(MSE)、从辐射活动的泊松统计中得出的泊松负对数概率以及从完整扫描和部分扫描之间的计数差异直方图中得出的 L1。此外,还探讨了监督方法的效果,比较了监督去噪、自监督去噪、基于部分扫描和完整扫描的依赖关系的输入插值和自监督去噪。使用 L1 准则损失函数的监督去噪方法无论在何种苛刻的去噪条件下都表现出很高的去噪性能,而使用 MSE 损失的插值自监督去噪方法则保留了局部特征。
Effects of Loss Functions and Supervision Methods on Total-Body PET Denoising
Introduction of the total-body positron emission tomography (TB PET) system is a remarkable advancement in noninvasive imaging, improving annihilation photon detection sensitivity and bringing the quality of positron emission tomography (PET) images one step closer to that of anatomical images. This enables reduced scan times or radiation doses and can ultimately improve other PET images through denoising. This study investigated the effect of loss functions: mean squared error (MSE), Poisson negative log-likelihood derived from the Poisson statistics of radiation activity, and L1 derived from the histogram of count differences between the full and partial scans. Furthermore, the effect of supervision methods, comparing supervised denoising, self-supervised denoising, and interpolation of input and self-supervised denoising based on dependency relations of the partial and full scans are explored. The supervised denoising method using the L1 norm loss function shows high-denoising performance regardless of harsh denoising conditions, and the interpolated self-supervised denoising using MSE loss preserves local features.