MRI脂肪组织和肌肉成分分析——自动化技术综述
MRI adipose tissue and muscle composition analysis-a review of automation techniques.
作者信息
Borga Magnus
机构信息
1 Department of Biomedical Engineering and Center for Medical Image Science and Visualization (CMIV), Linköping University , Linköping , Sweden.
出版信息
Br J Radiol. 2018 Sep;91(1089):20180252. doi: 10.1259/bjr.20180252. Epub 2018 Jul 24.
Abstract
MRI is becoming more frequently used in studies involving measurements of adipose tissue and volume and composition of skeletal muscles. The large amount of data generated by MRI calls for automated analysis methods. This review article presents a summary of automated and semi-automated techniques published between 2013 and 2017. Technical aspects and clinical applications for MRI-based adipose tissue and muscle composition analysis are discussed based on recently published studies. The conclusion is that very few clinical studies have used highly automated analysis methods, despite the rapidly increasing use of MRI for body composition analysis. Possible reasons for this are that the availability of highly automated methods has been limited for non-imaging experts, and also that there is a limited number of studies investigating the reproducibility of automated methods for MRI-based body composition analysis.
摘要
磁共振成像（MRI）在涉及脂肪组织测量以及骨骼肌体积和成分研究中的应用越来越频繁。MRI产生的大量数据需要自动化分析方法。这篇综述文章总结了2013年至2017年间发表的自动化和半自动化技术。基于最近发表的研究，讨论了基于MRI的脂肪组织和肌肉成分分析的技术方面和临床应用。结论是，尽管MRI在身体成分分析中的使用迅速增加，但很少有临床研究使用高度自动化的分析方法。造成这种情况的可能原因是，对于非成像专家来说，高度自动化方法的可用性有限，而且研究基于MRI的身体成分分析自动化方法可重复性的研究数量也有限。
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