基于B超的HIFU治疗区域自动确定及增强方法  

Methods to determine and enhance the HIFU treatment regions automatically based on Bmode ultrasound

作　　者：刘畅[1] 钱盛友[1] 邹孝[1] 曾业战[1] 

机构地区：[1]湖南师范大学物理与信息科学学院,长沙410081

出　　处：《微计算机信息》2010年第2期192-194,共3页Control & Automation

基　　金：基金申请人:钱盛友;项目名称:聚焦超声源对生物媒质加热作用的研究;基金颁发部门:湖南省自然科学基金委(02JJY2059);基金申请人:钱盛友;项目名称:HIFU治疗中声的非线性和生物组织特性变化对治疗区域的影响;基金颁发部门:湖南省教育厅(06C517)

摘　　要：为超声引导的HIFU系统设计自动检测凝固性坏死损伤区域并对损伤区域进行伪彩色增强的实时监控方法,方便医生实施治疗。首先根据HIFU治疗的特点,采用基于动态灰度梯度方法确定种子点,以种子点为中心进行区域生长自动检测损伤区域大小、形状和位置,然后利用改进的伪彩色变换算法增强损伤区域。基于区域生长的方法可直观反映出HIFU损伤区域的形状、大小及其在器官内的相对位置;改进的伪彩色变换算法能有效突出损伤区域,同时可对其进行疗效评价。实验结果证实了该算法的可行性和有效性。In order to conveniently implement treatment, a computer aided method was designed to detect the lesion area and enhance this area with pseudo-color automatically for HIFU treatment system guided by Mode B ultrasonic equipment. First of all, according to the characteristics of HIFU treatment, the seed was determined based on the dynamic gray gradient, and it was taken as the central point for regional growing to determine the size, shape and location of HIFU lesion which was then enhanced by the improved pseudo-color transformation algorithm. The regional growing method can show the shape, size and relative position of the lesion area within the organ objectively, and the improved pseudo-color transformation algorithm can highlight it effectively, which can be used to assess the curative effect. The experimental results confirmed the feasibility and effectiveness of this method.

关 键 词：高强度聚焦超声 数字减影 区域生长 伪彩色增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]