■疤痕的类型或持续时间决定了可用治疗的选择。传统的检测方法容易造成二次创伤,所以迫切需要一种非侵入性的,快速诊断方法。
■设计了一种定量分析人体皮肤疤痕中三维(3D)弹性纤维的策略,其中包括三维重建,骨架提取,定量分析,和随机森林回归。
■使用四种重建方法重建弹性纤维的3D双光子激发荧光图像以进行比较。在骨架提取阶段,改进了三维细化算法,为准确的定量分析做准备,其中包括分支号(B-NUM)的八个参数,节点数(N-NUM),平均分支虚线长度(AB-BL),平均线性分支长度(AB-LL),平均分支弯曲度(AB-T),分支方向一致性(B-DC),平均分支体积(AB-V),并给出了平均分支截面积(AB-SA)。其中六个,除平均分支弯曲度(AB-T)和分支方向一致性(B-DC)外,显示出明显的随疤痕持续时间变化的趋势。在随机森林回归分析中,提取的六个参数可用于预测瘢痕持续时间,R2=0.981,RMSE=0.513。
■我们提取的参数与疤痕持续时间有明显的关系,与单一模型相比,随机森林回归在预测疤痕持续时间方面表现更好。
UNASSIGNED: The type or duration of a scar determines the choice of therapy available. Traditional detection methods can easily cause secondary trauma, so there is an urgent need for a non-invasive, rapid diagnostic approach.
UNASSIGNED: A strategy for quantitative analysis of three-dimensional (3D) elastic fibers in human cutaneous scars was designed, which included 3D reconstruction, skeleton extraction, quantitative analysis, and random forest regression.
UNASSIGNED: Four reconstruction methods were used to reconstruct 3D two-photon excitation fluorescence images of elastic fibers for comparison. In the skeleton extraction stage, the 3D thinning algorithm was improved to prepare for accurate quantitative analysis, in which eight parameters comprising branches number (B-NUM), nodes number (N-NUM), averaged branch broken-line length (AB-BL), averaged linear branch length (AB-LL), averaged branch tortuosity (AB-T), branch direction consistency (B-DC), averaged branch volume (AB-V), and averaged branch sectional area (AB-SA) were presented. Six of them, except averaged branch tortuosity (AB-T) and branch direction consistency (B-DC), showed an explicit tendency to change with scar duration. In the random forests regression analysis, the six extracted parameters could be used to predict scar duration with R2=0.981 and RMSE=0.513.
UNASSIGNED: The parameters we extracted had a distinct relationship with scar duration, and random forests regression showed better performance in forecasting scar duration than unitary models.