Quantification of atherosclerotic plaque components using in vivo MRI and supervised classifiers
Quantification of atherosclerotic plaque components using in vivo MRI and supervised classifiers
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DOI：
10.1002/mrm.20828
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发表时间：
2006-04-01
影响因子：
3.3
通讯作者：
Romeny, BMT
中科院分区：
文献类型：
--
作者：
Hofman, JMA;Branderhorst, WJ;Romeny, BMT
在这项工作中，我们的目的是研究的可能性，使用监督分类器，以量化的颈动脉粥样硬化斑块的主要成分在体内的多序列MRI数据的基础上。从25名有症状的受试者中获得了由五个MR权重组成的MRI数据。将25条颈动脉的动脉内膜切除术标本的组织学显微照片用作培训和评估的参考标准。受试者集分为训练集（12名受试者）和评价集（13名受试者）。四个不同的分类器和两个人类MRI读取器确定了评价集中所有受试者在受试者水平上的钙化组织、纤维组织、脂质核心和斑块内出血的百分比。无论是分类器还是MRI读取器，都无法对相对少量的钙进行具有统计学意义的定量。对于其他组织，简单贝叶斯分类器（贝叶斯）的表现优于其他分类器和MRI读取器。在量化出血和脂质比例的总和方面，所有分类器均优于MRI读取器。MRI阅片者高估了出血比例，倾向于低估脂质比例。总之，这项初步研究证明了算法分类器量化斑块成分的好处。
In this work we aimed to study the possibility of using supervised classifiers to quantify the main components of carotid atherosclerotic plaque in vivo on the basis of multisequence MRI data. MRI data consisting of five MR weightings were obtained from 25 symptomatic subjects. Histological micrographs of endarterectomy specimens from the 25 carotids were used as a standard of reference for training and evaluation. The set of subjects was divided in a training set (12 subjects) and an evaluation set (13 subjects). Four different classifiers and two human MRI readers determined the percentages of calcified tissue, fibrous tissue, lipid core, and intraplaque hemorrhage on the subject level for all subjects in the evaluation set. Quantification of the relatively small amounts of calcium could not be done with statistical significance by either the classifiers or the MRI readers. For the other tissues a simple Bayesian classifier (Bayes) performed better than the other classifiers and the MRI readers. All classifiers performed better than the MRI readers in quantifying the sum of hemorrhage and lipid proportions. The MRI readers overestimated the hemorrhage proportions and tended to underestimate the lipid proportions. In conclusion, this pilot study demonstrates the benefits of algorithmic classifiers for quantifying plaque components.