使用三维成像测量面部肿胀。

J Bowskill, C Baldock, P W Booth
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引用次数: 5

摘要

临床上对面部肿胀的定量分析有一定的要求。需要一种快速且无创的面部体积测量方法。使用Thorn EMI中央研究实验室(英国)开发的空间视觉系统(SVS),可以方便地获取与患者面部表面空间模型相对应的三维图像。SVS获取四幅视频图像(两步对),并利用“斑点”照明获得的空间特征进行立体匹配,构建三维表面表示。然后使用表面匹配算法对术前和术后二值体图像进行空间对齐。利用匹配体挖掘优化配准精度。术后肿胀的分割是通过体积差异结合形态侵蚀来实现的。体积量化是使用三维区域增长的方法来实现的,从用户选择的种子点开始,给出图像体积中连接体素的数量。通过对已知体积的一系列半球形幻影成像,可以量化图像采集的准确性。重复测定体积的平均误差在3.5%以内。面部肿胀时颞部变化的感知是高度主观的。正在开展进一步的工作,以开发一种增强现实可视化工具,其中图形肿胀注释与实时患者图像相结合。
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Measuring facial swelling using three-dimensional imaging.

Requirements exist clinically for quantitative analysis of facial swelling. A quick and non-invasive measurement of facial volume is desirable. The acquisition of three-dimensional images, corresponding to spatial models of patients' facial surfaces, has been facilitated using a Spatial Vision System (SVS) developed by Thorn EMI Central Research Laboratories (UK). The SVS acquires four video images (two step pairs) and constructs a three-dimensional surface representation using stereo matching of spatial features acquired using 'speckled' illumination. Pre- and post-operative binary volumetric images are then spatially aligned using surface matching algorithms. Accuracy of registration is optimized using Match Volume Excavation. Segmentation of post-operative swelling is achieved by volume differencing in combination with morphological erosion. Volumetric quantification is achieved using a method of three-dimensional region growing, giving the number of connected voxels in the image volume from a user selected seed point. Accuracy of image acquisition has ben quantified by imaging a range of hemispherical phantoms of known volumes. The mean error in repeated measurement of volume was found to be within 3.5%. The perception of temporal changes in facial swelling is highly subjective. Further work is being undertaken to develop and Enhanced Reality visualization tool in which graphical swelling annotations are combined with real-time patient images.

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