改进的Fast Marching肝脏分割方法  

Improved Fast Marching Method for Liver Segmentation

作　　者：宋晓[1] 黄晓阳[2] 王博亮[2] 

机构地区：[1]南阳师范学院计算机与信息技术学院,南阳473061 [2]厦门大学信息科学与技术学院,厦门361005

出　　处：《信号处理》2014年第6期648-654,共7页Journal of Signal Processing

基　　金：国家自然科学基金(61102137;61202011;61327001);河南省教育厅科学技术研究重点项目基础研究(14A520056);南阳师范学院专项项目(ZX2013012)资助

摘　　要：为提高肝脏分割效率、改善分割效果,针对传统Fast Marching(FM)方法固定参数值T对肝脏分割结果的影响,提出了一种改进的FM肝脏分割方法。根据对腹部CT图像序列的肝脏区域灰度统计信息,估算出每幅图像上肝脏区域大小,进而自适应调整FM中的到达时间参数T,有效消除传统的固定参数值对分割效率和准确率的影响。对10套腹部CT图像序列的实验结果表明,该方法能够全自动、快速、准确的分割出肝脏区域。其中,处理单副CT图像所需的平均时间为0.3s,平均准确率为97%,其高效性、准确性为临床诊断和手术导航提供了有利信息。For the sake of high accuracy and efficiency of liver segmentation, we propose an improved Fast Marching method based on self-adaptive parameter adjustment. The arrival time parameter T is adjusted according to the intensity statistics of the liver region on set of abdominal CT images, which can used to estimate the size of liver region on the eorre-spomling CT slices. This method is efficient for elimination the influence of traditional same parameter values on the efficiency and accuracy of liver segmentation. When tested on 10 sets of abdominal CT images, experimental results show that the proposed approach can segment liver automatically, quickly and accurately. The average time for processing a slice of CT image resulted to be 0.3s, and the average accuracy is up to 97%. It is accurate and efficient enough for the use in clinical diagnosis and surgical navigation.

关 键 词：肝脏分割 FAST MARCHING CT图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]