This article proposes an automatic method based on a combination of active shape model (ASM) and nonlinear support vector machine (SVM) accompanied with Bayesian information criterion which is utilized in order to measure radiomorphometric indices for digital X-ray panoramic system. After omitting Poisson noise of input images, the image is divided. It attempts to choose suitable region of interest (ROI) in order to extract indices. This region becomes small and smaller during some steps until the final ROI is found and the mandible's cortex and ramus are detected. Finally, because of measuring the required parameters, ASM and SVM are used in order to evaluate exact setting of the detected region. Experimental results show no significant differences between right and left sides in terms of mental index (MI), panoramic mandibular index (PMI), gonial angle (GA), gonial index (GI), antegonial index (AGI), ramus height (RH), and ramus width (RW); however, in terms of GI and AGI for both sexes. There are significant differences between men and women for all indices in the mandible (P-value <.05). There was a mild negative significant correlation among GA and MI, GI, AGI and a moderate negative significant correlation among GA and PMI, RH, RW for both genders (P-value <.05). Besides, it has been shown measuring the panoramic indices provide useful information about trauma and prediction of asymptomatic subjects with osteoporosis at an earlier step.

中文翻译：

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使用主动形状模型和贝叶斯信息准则-支持向量机测量下颌骨全景放射形态测量指标

本文提出了一种基于主动形状模型 (ASM) 和非线性支持向量机 (SVM) 结合贝叶斯信息准则的自动方法，用于测量数字 X 射线全景系统的放射形态测量指标。在省略输入图像的泊松噪声后，对图像进行分割。它尝试选择合适的感兴趣区域 (ROI) 以提取索引。该区域在某些步骤中变得越来越小，直到找到最终的 ROI 并检测到下颌骨的皮质和支。最后，由于测量所需的参数，使用 ASM 和 SVM 来评估检测区域的精确设置。实验结果表明，左右侧在精神指数（MI）、下颌全景指数（PMI）、角角 (GA)、角指数 (GI)、对角指数 (AGI)、支杆高度 (RH) 和支杆宽度 (RW)；然而，就两性的 GI 和 AGI 而言。男性和女性在下颌骨的所有指标上都存在显着差异（P值 <.05)。GA 与 MI、GI、AGI 之间存在轻度负显着相关，GA 与 PMI、RH、RW 之间存在中度负显着相关（P值 <.05）。此外，已经表明测量全景指数可以提供有关创伤的有用信息，并可以在较早的步骤中预测无症状的骨质疏松症受试者。