Abdi Amir Hossein, Kasaei Shohreh, Mehdizadeh Mojdeh
Sharif University of Technology , Department of Computer Engineering, Azadi Ave., Tehran 11155-9517, Iran.
Isfahan University of Medical Sciences , School of Dentistry, Department of Maxillofacial Radiology, Isfahan 81595-158, Iran.
J Med Imaging (Bellingham). 2015 Oct;2(4):044003. doi: 10.1117/1.JMI.2.4.044003. Epub 2015 Nov 18.
As the panoramic x-ray is the most common extraoral radiography in dentistry, segmentation of its anatomical structures facilitates diagnosis and registration of dental records. This study presents a fast and accurate method for automatic segmentation of mandible in panoramic x-rays. In the proposed four-step algorithm, a superior border is extracted through horizontal integral projections. A modified Canny edge detector accompanied by morphological operators extracts the inferior border of the mandible body. The exterior borders of ramuses are extracted through a contour tracing method based on the average model of mandible. The best-matched template is fetched from the atlas of mandibles to complete the contour of left and right processes. The algorithm was tested on a set of 95 panoramic x-rays. Evaluating the results against manual segmentations of three expert dentists showed that the method is robust. It achieved an average performance of [Formula: see text] in Dice similarity, specificity, and sensitivity.
由于全景X射线是牙科中最常见的口外放射成像,其解剖结构的分割有助于牙科记录的诊断和配准。本研究提出了一种快速准确的全景X射线下颌骨自动分割方法。在所提出的四步算法中,通过水平积分投影提取上边界。一种改进的Canny边缘检测器结合形态学算子提取下颌骨体的下边界。通过基于下颌骨平均模型的轮廓跟踪方法提取下颌支的外边界。从下颌骨图谱中获取最佳匹配模板以完成左右突的轮廓。该算法在一组95张全景X射线上进行了测试。将结果与三位专业牙医的手动分割结果进行评估表明,该方法具有鲁棒性。在骰子相似性、特异性和敏感性方面,其平均性能达到了[公式:见原文]。