Toward quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care

Toward quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care
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在护理点对变形性斜头畸形和短头畸形进行定量评估

DOI:
10.1117/1.jmi.8.2.024504
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发表时间:
2021
影响因子:
2.4
通讯作者:
Linguraru, Marius George
Linguraru, Marius George
中科院分区:
--
文献类型:
--
作者:
Seifabadi, Reza;Aalamifar, Fereshteh;Hezaveh, Seyed Hossein;Kocabalkanli, Can;Wilburn, Kelly;Linguraru, Marius George

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目的:开发和验证算法,可以使新手用户定量测量的头部形状参数与变形斜头和brachycephaly(DPB)使用2D渲染images.Approach:首先,头部轮廓提取半自动使用智能剪刀方法。然后,我们自动计算两个指数用于临床确定的DPB的头部形状参数:颅指数(CI)和颅穹窿不对称指数(CVAI)。我们还提出了量化和补偿用户可变性的方法,包括使用2D渲染图像的相机角度和与头部的距离。我们比较了我们的技术的结果与地面实况(GT)测量从53名婴儿DPB和正常的颅parameters.Results:之间的斯皮尔曼相关系数新的2D渲染方法和3D GT CI和CVAI分别为0.94(p<0.001)和0.96(p< 0.001)。不同的模拟相机角度和距离头部的距离导致CI和CVAI在   [    -2.0,6.0 ]   和   [    -4.0,4.0 ]   单位,分别。Bland-Altman检验的一致性限度从   [    − 3.6、5.3 ]   和   [    − 3.6、4.2 ]   到   [    -0.5,3.0 ]   和   [    -1.3,1.6 ]   分别用于CI和CVAI,通过在我们的方法中组合来自不同相机角度和位置的结果。结论:该技术能够准确地对头部二维渲染图像进行分析,以评估DPB。对人体拍摄的2D照片进行进一步研究是必要的。
Purpose: Develop and validate algorithms that can enable a novice user to quantitatively measure the head shape parameters associated with deformational plagiocephaly and brachycephaly (DPB) using 2D rendered images.Approach: First, the head contour is extracted semi-automatically using the intelligent scissors method. We then automatically compute two indices used in the clinical determination of the DPB from the head shape parameters: the cranial index (CI) and the cranial vault asymmetry index (CVAI). We also present methods to quantify and compensate for the user variability, including camera angle and distance from the head using 2D rendered images. We compared the results of our technology with ground-truth (GT) measurements from 53 infants with DPB and normal cranial parameters.Results: The Spearman correlation coefficient between the new 2D rendered method and the 3D GT was 0.94 (p<  0.001) and 0.96 (p<  0.001) for CI and CVAI, respectively. Different simulated camera angles and distances from the head resulted in variation in CI and CVAI in the range of   [    −  2.0  ,  6.0  ]   and   [    −  4.0  ,  4.0  ]   units, respectively. The limits of agreement of the Bland–Altman test were reduced from   [    −  3.6  ,  5.3  ]   and   [    −  3.6  ,  4.2  ]   to   [    −  0.5  ,  3.0  ]   and   [    −  1.3  ,  1.6  ]   for CI and CVAI, respectively, by combining results from different camera angles and positions in our method. The overall accuracy of the proposed technology for DPB detection was 100%.Conclusions: The 2D rendered images of the head can be accurately analyzed to assess DPB. Further study on 2D photos taken from human subjects is warranted.
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