Automated quantification of abdominal adiposity by magnetic resonance imaging.
Automated quantification of abdominal adiposity by magnetic resonance imaging.
复制标题
通过磁共振成像自动量化腹部肥胖。
DOI：
10.1002/ajhb.22862
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Freeland-Graves,Jeanne
中科院分区：
文献类型：
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作者：
Sun,Jingjing;Xu,Bugao;Freeland-Graves,Jeanne
目的在不需要人工干预和先验知识的情况下，开发一种用于腹部内脏、皮下和总脂肪组织(即VAT、SAT和TAT)的全自动处理算法。材料和方法采用区域生长、不均匀校正、模糊均值聚类和活动轮廓分割等图像处理技术，对单个MRI切片或序列(20个切片)中的脂肪区域进行识别。对85例受试者(男性60例，女性25例)的体重指数(BMI)值在19.96~40.35 kg/m2范围内的MR图像进行了分析，采用本研究开发的全自动算法和广泛使用的半自动软件(sliceOma®Tomovision，Inc.)作为参考方法，对单层脐带切片和MRI序列中的脂肪组织进行了定量。两种方法计算的皮尔逊相关系数的平方(R2)分别为0.977/0.998/0.997和0.995/0.999/0.999。三种操作者内脏脂肪组织的类内相关系数在参考方法中为0.939，在自动方法中提高到0.999。腰椎3椎体切片上的脂肪组织测量值与整个腹部的总脂肪体积相关性最高。结论本文提出的全自动算法无需人工干预即可提供准确可靠的腹部脂肪评估。上午好。J.嗯。比奥尔。2016年28：757-766。2016Wiley期刊公司。
ObjectivesTo develop a fully‐automated algorithm to process axial magnetic resonance imaging (MRI) slices for quantifying abdominal visceral, subcutaneous and total adipose tissues, i.e., VAT, SAT, and TAT, without human intervention or prior knowledge.Materials and MethodsFat regions in single MRI slice or sequence (20 slices) were identified with image processing techniques including region‐growing, inhomogeneity correction, fuzzyc‐means clustering, and active contours segmentation. The MR images of 85 subjects (60 males and 25 females), whose body mass index (BMI) values ranged from 19.96 to 40.35 kg/m2, were analyzed using the fully‐automated algorithm—the automatic method developed in the research and the widely used semi‐automated software (sliceOmatic® Tomovision, Inc.)—the reference method.ResultsThe proposed automated method showed good performance against the reference method to quantify adipose tissues in both single umbilical slice and MRI sequence. The square of the Pearson correlation coefficients (R2) based on the results generated from the two methods for VAT/SAT/TAT were 0.977/0.998/0.997 for single slice data and 0.995/0.999/0.999 for volumetric data. The intra‐class correlation of visceral adipose tissue (VAT) between the three operators was 0.939 in the reference method, which was improved to 0.999 in the automatic method. The adipose tissue measurements in the slice at Lumbar 3 vertebra have the highest correlation with the total fat volumes across the entire abdomen.ConclusionThe fully‐automated algorithm presented in the paper provides an accurate and reliable assessment of abdominal fat without human intervention. Am. J. Hum. Biol. 28:757–766, 2016. © 2016Wiley Periodicals, Inc.