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首页> 外文会议>IEEE International Conference and Workshops on Automatic Face and Gesture Recognition >Automatic fetal face detection by locating fetal facial features from 3D ultrasound images for navigating fetoscopic tracheal occlusion surgeries
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Automatic fetal face detection by locating fetal facial features from 3D ultrasound images for navigating fetoscopic tracheal occlusion surgeries

机译：通过定位3D超声图像中的胎儿面部特征来导航胎儿镜下气管阻塞手术，从而自动进行胎儿面部检测

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摘要

With the wide clinical application of 3D ultrasound (US) imaging, automatic location of fetal facial features from US volumes for navigating fetoscopic tracheal occlusion (FETO) surgeries becomes possible, which plays an important role in reducing surgical risk. In this paper, we propose a feature-based method to automatically detect 3D fetal face and accurately locate key facial features without any priori knowledge or training data. The candidates of the key facial features, such as the nose, eyes, nose upper bridge and upper lip are detected by analyzing the mean and Gaussian curvatures of the facial surface. Each feature is gradually identified from the candidates by a boosting traversal scheme based on the spatial relations between each feature. In experiments, all key feature points are detected for each case, and thus a detection success rate of 100% is achieved by using 72 3D US images from a test database of 6 fetal faces in the frontal view and any pose within 15° from the frontal view, and the location error 3. 18 ± 0.91 mm of the detected upper lip for all test data is obtained, which can be tolerated by the FETO surgery. Moreover, this system has a high efficiency and can detect all key facial features in about 625 ms on a quad-core 2.60 GHz computer.
机译：随着3D超声（US）成像在临床上的广泛应用，可以通过US量自动定位胎儿面部特征，以导航胎儿镜检查气管闭塞（FETO）手术，这在降低手术风险中起着重要作用。在本文中，我们提出了一种基于特征的方法，可自动检测3D胎儿面部并准确定位关键面部特征，而无需任何先验知识或训练数据。通过分析面部表面的平均曲率和高斯曲率，可以检测出关键的面部特征（例如鼻子，眼睛，鼻子上桥和上唇）的候选者。通过基于每个特征之间的空间关系的增强遍历方案，从候选项中逐渐识别每个特征。在实验中，针对每种情况检测到所有关键特征点，因此，通过使用来自正面视图中6个胎儿面部的测试数据库中的72张3D US图像以及与该位置相距15°以内的任何姿势，可以实现100％的检测成功率正面图，并且所有测试数据的检测到的上唇的位置误差为3. 18±0.91mm。FETO手术可以忍受。此外，该系统具有很高的效率，并且可以在2.60 GHz四核计算机上在大约625毫秒内检测到所有关键的面部特征。

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