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Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis

机译:使用相关优化的翘曲和规范相关分析对俯卧和仰卧CT结肠造影扫描进行配准

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摘要

>Purpose: In computed tomographic colonography (CTC), a patient will be scanned twice—Once supine and once prone—to improve the sensitivity for polyp detection. To assist radiologists in CTC reading, in this paper we propose an automated method for colon registration from supine and prone CTC scans.>Methods: We propose a new colon centerline registration method for prone and supine CTC scans using correlation optimized warping (COW) and canonical correlation analysis (CCA) based on the anatomical structure of the colon. Four anatomical salient points on the colon are first automatically distinguished. Then correlation optimized warping is applied to the segments defined by the anatomical landmarks to improve the global registration based on local correlation of segments. The COW method was modified by embedding canonical correlation analysis to allow multiple features along the colon centerline to be used in our implementation.>Results: We tested the COW algorithm on a CTC data set of 39 patients with 39 polyps (19 training and 20 test cases) to verify the effectiveness of the proposed COW registration method. Experimental results on the test set show that the COW method significantly reduces the average estimation error in a polyp location between supine and prone scans by 67.6%, from 46.27±52.97 to 14.98 mm±11.41 mm, compared to the normalized distance along the colon centerline algorithm (p<0.01).>Conclusions: The proposed COW algorithm is more accurate for the colon centerline registration compared to the normalized distance along the colon centerline method and the dynamic time warping method. Comparison results showed that the feature combination of z-coordinate and curvature achieved lowest registration error compared to the other feature combinations used by COW. The proposed method is tolerant to centerline errors because anatomical landmarks help prevent the propagation of errors across the entire colon centerline.
机译:>目的:在计算机断层扫描结肠造影(CTC)中,将对患者进行两次扫描(一次仰卧一次,一次俯卧一次),以提高息肉检测的敏感性。为了帮助放射科医生阅读CTC,本文提出了一种从仰卧和俯卧CTC扫描进行结肠定位的自动方法。>方法:我们提出了一种利用相关性对俯卧和仰卧CTC扫描进行结肠定位的新方法根据结肠的解剖结构优化翘曲(COW)和规范相关分析(CCA)。首先自动区分结肠上的四个解剖显着点。然后,将相关优化的翘曲应用于由解剖界标定义的片段,以基于片段的局部相关性改善全局配准。通过嵌入规范相关分析对COW方法进行了修改,以允许沿结肠中心线使用多个功能。>结果:我们在39例39例息肉患者的CTC数据集上测试了COW算法(19个培训和20个测试用例)以验证建议的COW注册方法的有效性。测试集上的实验结果表明,与沿着结肠中心线的标准化距离相比,COW方法显着降低了仰卧和俯卧扫描之间息肉位置的平均估计误差67.6%,从46.27±52.97到14.98 mm±11.41 mm。算法(p <0.01)。>结论:与沿结肠中心线方法和动态时间规整方法的标准化距离相比,所提出的COW算法对于结肠中心线配准更准确。比较结果表明,与COW使用的其他特征组合相比,z坐标和曲率的特征组合实现了最低的配准误差。所提出的方法可以容忍中心线错误,因为解剖学界标有助于防止错误在整个结肠中心线上传播。

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