An accurate and robust method for unsupervised assessment of abdominal fat by MRI
An accurate and robust method for unsupervised assessment of abdominal fat by MRI
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DOI：
10.1002/jmri.20167
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发表时间：
2004-10-01
影响因子：
4.4
通讯作者：
Landini, L
中科院分区：
文献类型：
--
作者：
Positano, V;Gastaldelli, A;Landini, L
目的：描述和评价一种自动和无人监督的方法，评估腹部脂肪组织的数量和分布的MRI。材料和方法：共20例患者进行了全腹部MRI。每例受试者共采集32个横向T1加权图像。收集的数据被转移到一个专用的工作站，并分析了我们的无人监督的方法和手动程序。所提出的方法允许MRI轴向图像的自动处理，分割脂肪组织的模糊聚类方法。在由模糊聚类算法提供的图像掩模上使用活动轮廓算法允许从内脏脂肪分离皮下脂肪。最后，一个自动化的程序，基于自动图像直方图分析确定的内脏fat.Results：我们的自动方法的准确性，再现性和速度进行了比较，与国家的最先进的手动方法。无监督分析与手动分析相关性良好，并且明显快于手动跟踪。此外，无监督的方法是不受观察者和观察者之间的variability.Conclusion：所获得的结果表明，所提出的方法可以提供皮下脂肪组织，内脏脂肪组织，全球脂肪组织的体积，皮下和内脏脂肪之间的比例在一个无监督的和有效的方式。
Purpose: To describe and evaluate an automatic and unsupervised method for assessing the quantity and distribution of abdominal adipose tissue by MRI.Material and Methods: A total of 20 patients underwent whole-abdomen MRI. A total of 32 transverse T1-weighted images were acquired from each subject. The data collected were transferred to a dedicated workstation and analyzed by both our unsupervised method and a manual procedure. The proposed methodology allows the automatic processing of MRI axial images, segmenting the adipose tissue by fuzzy clustering approach. The use of an active contour algorithm on image masks provided by the fuzzy clustering algorithm allows the separation of subcutaneous fat from visceral fat. Finally, an automated procedure based on automatic image histogram analysis identifies the visceral fat.Results: The accuracy, reproducibility, and speed of our automatic method were compared with the state-of-the-art manual approach. The unsupervised analysis correlated well with the manual analysis, and was significantly faster than manual tracing. Moreover, the unsupervised method was not affected by intraobserver and interobserver variability.Conclusion: The results obtained demonstrate that the proposed method can provide the volume of subcutaneous adipose tissue, visceral adipose tissue, global adipose tissue, and the ratio between subcutaneous and visceral fat in an unsupervised and effective manner.