Quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care
Quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care
复制标题
在护理点对变形性斜头畸形和短头畸形进行定量评估
DOI：
10.1117/12.2581837
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Linguraru, Marius G.
中科院分区：
文献类型：
--
作者：
Seifabadi, Reza;Aalamifar, Fereshteh;Hezaveh, Seyed Hossein;Kocabalkanli, Can;Linguraru, Marius G.
目的开发和验证算法，使新手用户能够使用智能手机或平板电脑定量测量与变形性斜头畸形和短头畸形（DPB）相关的头部形状参数。（称为SoftSpotTM），基于先进的成像算法，从新手用户在护理点获取的头部顶视图照片中检测不同类型和严重程度的DPB，即在儿科办公室和家中。目前，头部形状参数是由儿科神经外科医生或矫形师等专家使用3D扫描仪或机械卡尺测量的。在我们的方法中，头部轮廓提取半自动使用智能剪刀的方法。然后，我们自动计算用于DPB临床测定的两个指数：颅骨指数（CI）和颅骨穹窿不对称指数（CVAI）。在本文中，我们还提出了方法来量化，并补偿用户的变化，在采集的照片，包括相机的角度，从头部的距离，结合从不同的相机位置的结果。我们将我们的技术结果与来自53名患有DPB的婴儿和正常颅骨参数的地面实况测量结果进行了比较。准确性分析进行了Bland Altman（BA）方法，和斯皮尔曼相关性test.ResultsThe斯皮尔曼相关系数之间的新的2D方法，和3D的地面真理CI和CVAI分别为0.94（p<0.001）和0.96（p<0.001）。不同的摄像机角度和与头部的距离导致CI和CVAI的变化范围分别为[-2.0，6.0]和[-4.0，4.0]单位。通过结合不同相机角度和位置的结果，我们的方法将CI和CVAI的一致性限分别从[-3.6，5.3]和[-3.6，4.2]降低到[-0.5，3.0]和[-1.3，1.6]。该技术对DPB检测的总体准确率为100%.ConclusionsPhotographic 2D images can be accurately analyzed to assess DPB in the point of care.通过补偿可变相机角度和与头部的距离的误差，我们的技术消除了用户的可变性。这些算法将被打包在一个移动的应用程序中，以便在护理点使用该技术。
Purposeto develop and validate algorithms that enable a novice user to quantitatively measure the head shape parameters associated with deformational plagiocephaly, and brachycephaly (DPB) using a smartphone or tablet.MethodWe have developed a technology (called SoftSpotTM) based on advanced imaging algorithms to detect different types and severity of DPB from top-view photos of the head acquired by a novice user at the point-of-care, i.e. in pediatric offices, and at home. Currently, the head shape parameters are measured using either a 3D scanner or a mechanical caliper by a specialist such a pediatric neurosurgeon or an orthotist. In our approach, the head contour is extracted semiautomatically using the intelligent scissors method. We then automatically compute two indices used in the clinical determination of the DPB: the cranial index (CI), and the cranial vault asymmetry index (CVAI). In this paper, we also present methods to quantify, and compensate for the user variability in the acquisition of photos, including camera angle, and distance from the head, by combining the results from different camera positions. We compared the results of our technology with ground truth measurements from 53 infants with DPB, and normal cranial parameters. Accuracy analysis was performed by Bland Altman (BA) method, and the Spearman correlation test.ResultsThe Spearman correlation coefficients between the new 2D method, and the 3D ground truth were 0.94 (p<0.001), and 0.96 (p<0.001) for CI and CVAI, respectively. Different 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 limit of agreement was 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%.ConclusionsPhotographic 2D images can be accurately analyzed to assess DPB at the point-of-care. By compensating for the error from variable camera angles, and distance from the head, our technology eliminates user variability. The algorithms will be packaged in a mobile application to enable the use of the technology at the point-of-care.
登录
查看更多内容
孤立性矢状骨融合的全颅穹重塑：第一部分：术后颅缝通畅
影响因子：
3.6
作者：
M. Seruya;Shubin Tan;A. Wray;A. Penington;A. Greensmith;A. Holmes;D. Chong
通讯作者：
D. Chong
早期社交技能的遗传和环境病因学
DOI：
--
发表时间：
2007
期刊：
影响因子：
--
作者：
Takahashi;Y.;Yamagata;S.;Ozaki;K.;Nonaka;K.;Kato;N.;Ooki;S.;& Ando;J.
通讯作者：
J.
影响因子：
120.7
作者：
Courchesne, E;Carper, R;Akshoomoff, N
通讯作者：
Akshoomoff, N
位置性斜头畸形：预防是关键
DOI：
10.1542/gr.32-2-24
发表时间：
2014
期刊：
Aap Grand Rounds
影响因子：
--
作者：
A. Ritter
通讯作者：
A. Ritter
影响因子：
8
作者：
R. Bud;D. Warner
通讯作者：
D. Warner