Destine Michel, Seret Alain
Nuclear Medicine Department, Sainte Elisabeth Hospital, CHU UCL Namur, Namur, Belgium.
GIGA Research - CRC Human Imaging Unit, University of Liège, Liège, Belgium.
EJNMMI Rep. 2024 Oct 15;8(1):33. doi: 10.1186/s41824-024-00221-9.
Our objective was to assess a deconvolution and denoising technique based on Legendre polynomials compared to matrix deconvolution on dynamic F-FDG renography of healthy patients.
The study was carried out and compared to the data of 24 healthy patients from a published study who underwent examinations with Tc-MAG3 planar scintigraphy and F-FDG PET/MRI. Due to corruption issues in some data used in the published article, post-publication measurements were provided. We have been warned that post-publication data were treated differently. The smoothing method switched from Bezier to Savitzky-Golay and the deconvolution from matrix-based (with Tikhonov Regularization) to Richardson-Lucy. A comparison of the split function and mean transit times of the published and post-publication data against our method based on Legendre polynomials was performed.
For split function, we only observed a good agreement between the processing methods for the Tc-MAG and the post-published data. No correlation was found between the split functions obtained on the Tc-MAG and the F-FDG, contrary to the published study. However, all calculated split function values for F-FDG and Tc-MAG were within the established normal range. For the mean transit time, the correlation was moderate with published data and very good with the post-publication measurements for both Tc-MAG and F-FDG. Bias of the Bland-Altman analysis of the mean transit times for Tc-MAG versus F-FDG was 1.1 min (SD 1.7 min) for the published data, - 0.11 min (SD 1.9 min) for the post-publication results and .05 min (SD 1.9 min) for our method.
The processing methods used in the original publication and in the post-publication work were quite complex and required adaptation of the fitting parameters for each individual and each type of examination. Our method did not require any specific adjustment; the same unmodified and fully automated algorithm was successfully applied to all data.
我们的目标是评估一种基于勒让德多项式的去卷积和去噪技术，并将其与健康患者动态F-FDG肾图的矩阵去卷积方法进行比较。
本研究开展并与一项已发表研究中的24例健康患者的数据进行比较，这些患者接受了Tc-MAG3平面闪烁显像和F-FDG PET/MRI检查。由于已发表文章中使用的一些数据存在损坏问题，因此提供了发表后测量的数据。我们已收到警告，发表后的数据处理方式有所不同。平滑方法从贝塞尔法改为Savitzky-Golay法，去卷积方法从基于矩阵的方法（采用蒂霍诺夫正则化）改为理查森-露西法。将已发表和发表后数据的分流函数及平均通过时间与我们基于勒让德多项式的方法进行了比较。
对于分流函数，我们仅观察到Tc-MAG处理方法与发表后数据之间具有良好的一致性。与已发表研究相反，在Tc-MAG和F-FDG上获得的分流函数之间未发现相关性。然而，F-FDG和Tc-MAG的所有计算分流函数值均在既定的正常范围内。对于平均通过时间，与已发表数据的相关性中等，与Tc-MAG和F-FDG的发表后测量结果相关性非常好。对于已发表数据，Tc-MAG与F-FDG平均通过时间的Bland-Altman分析偏差为1.1分钟（标准差1.7分钟），发表后结果为-0.11分钟（标准差1.9分钟），我们的方法为0.05分钟（标准差1.9分钟）。
原始发表文章和发表后工作中使用的处理方法相当复杂，需要针对每个个体和每种检查类型调整拟合参数。我们的方法无需任何特定调整；相同的未修改且完全自动化的算法成功应用于所有数据。
