Automatic determination of aortic compliance based on MRI and adapted curvilinear detector
Automatic determination of aortic compliance based on MRI and adapted curvilinear detector
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DOI：
10.1016/j.bspc.2017.09.002
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发表时间：
2018-02-01
影响因子：
5.1
通讯作者：
Lalande, A.
中科院分区：
文献类型：
--
作者：
Miteran, J.;Bouchot, O.;Lalande, A.
主动脉弹性的参数，如主动脉顺应性或主动脉扩张性，可以通过每个图像上的主动脉轮廓的知识从电影MRI中估计。在这种情况下，在这项研究中提出了一个完全自动的方法来测量主动脉弹性，并与以前发表的方法，这不是完全自动的。在一项包括40名志愿者的初步研究中，使用曲线区域检测器的适配用于整个心动周期内的主动脉壁检测，以完全自动地评估主动脉硬度。在序列的每个图像中使用基于尺度空间的鲁棒方法检测近圆形区域（升主动脉和降主动脉横截面），并使用概率方法去除假阳性。对噪声的鲁棒性进行了研究，并进行了面积估计的评价。在患者数据集的整个图像上提供了两名专家手动分割之间的比较。升主动脉和降主动脉面积的总体平均相对误差分别为2.83 +/- 1.88%和1.44 +/- 1.52%。升主动脉和降主动脉的Dice系数的总体平均值分别为0.97 +/- 0.01和0.97 +/- 0.01。这些值很高且非常稳定。最后，顺应性和扩张性值的Bland-Altman图显示我们的方法与专家之间存在良好的一致性，差异均值始终接近于零，并且标准差较低。然后，所提出的工具允许精确和准确的自动测量主动脉僵硬度从电影MRI，并可以应用于临床实践。(C)2017爱思唯尔有限公司版权所有
Parameters of aortic elasticity, such as aortic compliance or aortic distensibility, can be estimated from cine-MRI through the knowledge of the aortic contour on each image. In this context, a completely automatic method for the measurement of aortic elasticity is proposed in this study, and compared with previously published methods which are not fully automatic. An adaptation of a curvilinear region detector was used for the aortic wall detection over the entire cardiac cycle, to completely automatically evaluate the aortic stiffness in a pilot study including 40 volunteers. Near circular regions were detected (ascending and descending aorta cross-sections) in each image of the sequence using robust scale-space based method with removing of false positives using probabilistic approach. Robustness against noise was studied and an evaluation of area estimation was performed. A comparison between manual segmentation by two experts is provided on whole images from the patient dataset. The global mean relative errors for the area are 2.83 +/- 1.88% and 1.44 +/- 1.52% for the ascending and descending aorta, respectively. The global means of the Dice's coefficient are 0.97 +/- 0.01 for the ascending aorta and 0.97 +/- 0.01 for the descending aorta. These values are high and very stable. Finally, the Bland-Altman plots for compliance and distensibility values show good agreements between our method and experts, with a mean of difference always close to zero, and a low standard deviation. Then the proposed tool allows a precise and accurate automatic measurement of aortic stiffness from cine-MRI and can be applied in clinical practice. (C) 2017 Elsevier Ltd. All rights reserved.