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 preliminary version of a reference manual on the use of convolutional image filters in radiomics. 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 have been found to be poorly reproducible. This reference manual forms the basis of ongoing work on standardising convolutional filters in radiomics, and will be updated as this work progresses.
翻译:图像生物标志标准化倡议(IBSI)旨在通过将从图像中提取图像生物标志(地物)的计算过程标准化来改进放射学研究的再复制性。我们以前为169个常用特征确定了参考值,创建了标准的放射图像处理方案,并为放射学研究制定了报告准则。然而,有几个方面没有标准化。我们在这里介绍了关于辐射学中使用革命图像过滤器的参考手册的初稿。过滤器,例如高斯过滤器的波盘或拉普拉西安等过滤器,在强调边缘和布洛布等特定图像特征方面发挥了重要作用。从过滤反应图中提取的特征被认为不易再复制。该参考手册构成了正在进行的辐射学中革命过滤器标准化工作的基础,并将随着这项工作的进展而更新。