摘要
间质性肺疾病(ILD)的精确诊断依赖于高分辨率计算机体层成像,但传统的视觉分析方式存在明显的主观性。主要介绍了基于人工智能的定量计算机体层成像(CT)分析软件在评价ILD中的研究进展,包括CALIPER、自适应多特征法、数据驱动纹理分析、定量肺纤维化/定量ILD、系统目标纤维化影像分析算法、e-Lung、呼吸功能成像、AirQuant、Fibresolve和3D Slicer 10种主流定量CT分析软件的核心技术框架、临床应用场景、数据采集标准、技术优势和应用局限,同时分析了这些软件的合理选择策略,并总结了其目前存在的挑战和发展前景。
Accurate diagnosis of interstitial lung disease(ILD)depends on high resolution computed tomography,but traditional visual analysis is limited by subjectivity.In this review,the research progress of artificial intelligence-based quantitative computed tomography(CT)analysis software for evaluating ILD was mainly introduced.The core technical framework,clinical application scenarios,data acquisition standards,technical advantages and application limitations of ten mainstream quantitative CT analysis software packages were analyzed,including CALIPER,the adaptive multiple feature method,data-driven texture analysis,quantitative lung fibrosis/quantitative ILD,the systematic objective fibrotic imaging analysis algorithm,e-Lung,functional respiratory imaging,AirQuant,Fibresolve and 3D Slicer.The reasonable selection strategies for these software programs were also analyzed,as were the existing challenges and development prospects.
作者
李龙
韩嫱琳
Li Long;Han Qianglin(Department of Radiology,Guangzhou Twelfth People′s Hospital,Guangzhou Medical University,Guangzhou 510620,China)
出处
《国际生物医学工程杂志》
2025年第4期413-422,共10页
International Journal of Biomedical Engineering
基金
广州市第十二人民医院高层次人才科研项目(2022-GCC-1)
广州市科技计划(2024A03J0497)。
关键词
人工智能
间质性肺疾病
计算机体层成像
自适应多特征法
数据驱动纹理分析
系统目标纤维化影像分析算法
呼吸功能成像
Artificial intelligence
Interstitial lung disease
Computed tomography
Adaptive multiple feature method
Data-driven texture analysis
Systematic objective fibrotic imaging analysis algorithm
Functional respiratory imaging
