Advanced automatic method for detecting maxillary sinusitis on dental panoramic radiographs
Advanced automatic method for detecting maxillary sinusitis on dental panoramic radiographs
复制标题
牙科全景X光片上检测上颌窦炎的先进自动方法
DOI：
10.11318/mii.32.77
复制
发表时间：
2015
期刊：
影响因子：
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通讯作者：
藤田広志
中科院分区：
文献类型：
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作者：
三木勇磨;原 武史;村松千左子;林 達郎;勝又明敏;周 向栄;藤田広志
在这项研究中，我们提出了一种改进的方法，通过精确确定感兴趣区域（roi）来检测上颌窦的异常区域。roi是基于对硬腭和牙冠平均宽度的自动搜索而设定的。优选地，在法兰克福平面水平对齐的情况下获得牙科全景x线片。为了在定位不合适的图像中管理ROI设置，根据参考线与牙槽线的关系，对ROI位置进行单独调整。采用DB‐1和DB‐2两个数据库，分别包含59和39张图像，对所提出的方法进行了评估。使用该方法，平均一致性（Jaccard Index）提高了10%以上。鼻窦炎检测的ROC曲线下面积与前一种方法比较（两个数据库分别为0.86和0.82）。因此，期望随着ROI确定的改进，计算机输出的可靠性得到提高。
In this study, we propose an improved method to detect abnormal regions in maxillary sinuses by accurate determination of regions of interest (ROIs) based on the anatomical information. The ROIs are set based on the automated search of a hard palate and the average widths of tooth crowns. Preferably, dental panoramic radiographs are obtained with the Frankfort plane aligned horizontally. In order to manage the ROI setting in images with inappropriate positioning, the ROI locations are individually adjusted on the basis of the relationship between the reference line and the alveolar line. The proposed method was evaluated with two databases, DB‐1 and DB‐2, consisting of 59 and 39 images. Using the proposed method, the average concordance rate (Jaccard Index) was improved by more than 10%. The areas under the ROC curves for the sinusitis detection were comparable (0.86 and 0.82 for the two databases) with the previous method. As a result, it is expected that the reliability of the computer output was increased with the improved ROI determination.