论文标题
标准化的卷积过滤用于放射线学
Standardised convolutional filtering for radiomics
论文作者
论文摘要
图像生物标志物标准化计划（IBSI）旨在通过标准化图像中提取图像生物标志物（特征）的计算过程来提高放射线研究的可重复性。我们先前已经为169个常用特征建立了参考值，创建了标准的放射线图像处理方案，并制定了用于放射组研究的报告指南。但是，有几个方面不是标准化的。在这里，我们提供了有关在放射线学和定量图像分析中使用卷积过滤器的参考手册的完整版本。滤波器（例如高斯滤波器的小波或拉普拉斯式）在强调特定图像特征（例如边缘和斑点）方面起着重要作用。发现从滤波器响应图中得出的特征差可再现。本参考手册提供了卷积过滤器的定义，应报告的参数，参考特征值和测试，以验证软件符合参考标准的定义。
The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of radiomics studies by standardising the computational process of extracting image biomarkers (features) from images. We have previously established reference values for 169 commonly used features, created a standard radiomics image processing scheme, and developed reporting guidelines for radiomic studies. However, several aspects are not standardised. Here we present a complete version of a reference manual on the use of convolutional filters in radiomics and quantitative image analysis. Filters, such as wavelets or Laplacian of Gaussian filters, play an important part in emphasising specific image characteristics such as edges and blobs. Features derived from filter response maps were found to be poorly reproducible. This reference manual provides definitions for convolutional filters, parameters that should be reported, reference feature values, and tests to verify software compliance with the reference standard.
