An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information

Wenjun Tan, Ying Kang, Zhiwei Dong, Jinzhu Yang, Yingfei Su, Li Zhang, Lisheng Xu, Dazhe Zhao
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Abstract

In the field of oral and maxillofacial of surgery, in order to recover the facial symmetry of patients, head symmetry plane is calculated with points chosen manually by doctors. It is great clinical significance to find automatically the symmetry plane of the head before surgery. Aimed at this challenge, an extraction method for head symmetry plane extracting is proposed in this paper. First, region growing method is applied to extract brain tissues from head CT images. Then OBB bounding box method is used to surround the brain tissues to build an initial symmetry plane. Finally, the initial plane is shifted to the best position by mathematical translation and rotation operation with the mutual information. Furthermore, asymmetric index was used to evaluate the accuracy of the extracting symmetry plane. Experimental results showed that the method proposed can achieve the accuracy of manual extracted, but the stable level of this method significantly higher than the manual method.
基于OBB和互信息的外科头部CT图像对称面提取方法
在口腔颌面外科领域,为了恢复患者的面部对称性,采用医生手动选择的点计算头部对称面。术前自动寻找头部对称面具有重要的临床意义。针对这一问题,本文提出了一种头部对称面提取方法。首先,采用区域生长法从头部CT图像中提取脑组织;然后采用OBB包围盒法对脑组织进行包围,构建初始对称平面。最后,利用互信息进行数学平移和旋转运算,将初始平面移动到最佳位置。采用非对称指标评价对称面提取的精度。实验结果表明,所提出的方法可以达到人工提取的精度,但该方法的稳定性水平明显高于人工方法。
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