基于CT心脏图像的腔体区域分割新算法

摘要

To solve the problem of heart cavity over-segmentation in image processing, a new algorithm is proposed. It combines a new multi-threshold segmentation based on histogram with marker-based watershed segmentation algorithm. Because CT heart cavity region gray values are very similar and the heart tissues are connected with each other, it can't get the target area with the traditional threshold segmentation. The appropriate threshold values are selected according to the corresponding histogram of the CT images in new multi-threshold algorithm, and the segmentation results can be used as input images of marker-based watershed algorithm, eventually the cavity area is constructed via the three-dimension reconstruction. Compared with other methods, the segmentation result is more accurate, and the boundary is clear because of the use of multi-threshold based on histogram. It effectively reduces the over segmentation if only the original watershed algorithm is used.%在心脏图像处理中,为解决心脏四腔过分割问题,使用基于直方图的多阈值分割和标记分水岭分割相结合的新方法.由于CT心脏腔体区域灰度十分相似,组织相互连通,采取单一阈值分割无法得到目标区域,新算法使用多阈值分割,根据图像对应的直方图选择合适的阈值,并将分割结果作为基于标记的分水岭分割算法的输入图像,最终获得心脏的腔体区域,最后,通过重建得到左心房心室的三维结构图.而与其他分水岭改进方法相比,该算法以基于直方图的多阈值分割为前提,标记提取更为准确,目标组织边界清晰,能够获得更加理想的分割结果,有效降低了仅使用分水岭算法存在的过分割现象.