基于证据推理的区域合并用于交互式的医学图像分割

摘要

When preoperatively diagnosing the gastric cancer, extracting regions which include lymph nodes in CT images accu-rately is very important for doctors.Meanwhile, it is better to allow direct intervention of doctors to make necessary corrections when needed.Due to above problems, a novel evidential reasoning based region merging ( ERRM) method for interactive image segmentation is proposed.ERRM not only can extract object regions effectively, but also allow direct intervention of doctors.Af-ter initial segmentation, the similarity between the target region and its adjacent regions will be calculated by evidential reasoning ( ER) .Two regions will be merged if they have the highest similarity.The experimental results show that ERRM can obtain better performance than other methods in both qualitative and quantitative analysis.%在CT图像中，精确地分割脂肪组织对治疗诸如癌症等疾病具有非常重要的作用。与此同时，如果医学图像分割中允许医师的介入，将会得到更好的分割结果。基于此，本文提出一种新的基于证据推理的区域合并方法，用于交互式的医学图像分割。该方法在初始化后，目标区域与其邻接区域的相似性利用证据推理方法计算得到。如果目标区域与某一个邻接区域的相似性最大，那么这2个区域将合并成为一个区域。实验结果表明所提算法在视觉和定量分析上均能取得好的分割性能。