论文标题
动态放射组学：一种从断层图像中提取定量时间相关特征的新方法
Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images
论文作者
论文摘要
放射素学的特征提取方法主要基于一定时刻的静态断层扫描图像，而疾病的发生和发展是一个动态过程，不能仅由静态特征完全反映。这项研究提出了一种新的动态放射素学特征提取工作流，该工作流使用同一患者的时间依赖性层析成像图像，重点介绍图像特征随时间的变化，然后将其量化为用于诊断或预后评估的新动态特征。我们首先定义了动态放射素学的数学范式，并引入了三种特定方法，可以描述特征随时间的变换过程。使用传统的2D和3D静态特征来验证提出的动态特征的性能。
The feature extraction methods of radiomics are mainly based on static tomographic images at a certain moment, while the occurrence and development of disease is a dynamic process that cannot be fully reflected by only static characteristics. This study proposes a new dynamic radiomics feature extraction workflow that uses time-dependent tomographic images of the same patient, focuses on the changes in image features over time, and then quantifies them as new dynamic features for diagnostic or prognostic evaluation. We first define the mathematical paradigm of dynamic radiomics and introduce three specific methods that can describe the transformation process of features over time. Three different clinical problems are used to validate the performance of the proposed dynamic feature with conventional 2D and 3D static features.
