无线电技术
图像质量
工作流程
标准化
稳健性(进化)
计算机科学
医学影像学
人工智能
医学物理学
扫描仪
质量保证
质量(理念)
数据挖掘
计算机视觉
医学
图像(数学)
病理
生物化学
化学
哲学
外部质量评估
认识论
数据库
基因
操作系统
标识
DOI:10.1088/1361-6560/ac7fd7
摘要
Radiomics features extracted from medical images have been widely reported to be useful in the patient specific outcome modeling for variety of assessment and prediction purposes. Successful application of radiomics features as imaging biomarkers, however, is dependent on the robustness of the approach to the variation in each step of the modeling workflow. Variation in the input image quality is one of the main sources that impacts the reproducibility of radiomics analysis when a model is applied to broader range of medical imaging data. The quality of medical image is generally affected by both the scanner related factors such as image acquisition/reconstruction settings and the patient related factors such as patient motion. This article aimed to review the published literatures in this field that reported the impact of various imaging factors on the radiomics features through the change in image quality. The literatures were categorized by different imaging modalities and also tabulated based on the imaging parameters and the class of radiomics features included in the study. Strategies for image quality standardization were discussed based on the relevant literatures and recommendations for reducing the impact of image quality variation on the radiomics in multi-institutional clinical trial were summarized at the end of this article.
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