检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:尹建东[1] 孙洪赞[2] 杨嘉文[3] 郭启勇[2]
机构地区:[1]东北大学中荷生物医学与信息工程学院,辽宁沈阳110819 [2]中国医科大学附属盛京医院放射科,辽宁沈阳110004 [3]中国医科大学附属盛京医院医疗设备科,辽宁沈阳110004
出 处:《东北大学学报(自然科学版)》2014年第12期1677-1681,共5页Journal of Northeastern University(Natural Science)
基 金:辽宁省工程技术研究中心资助项目(2011040059-301)
摘 要:手动提取DSC-MRI脑灌注动脉输入函数的方法耗时长、对操作者依赖,同时准确性和可再现性较差.针对该问题,提出了一种基于k-means簇分析原理的半自动计算方法,对感兴趣区内像素分簇并计算各簇平均曲线,当某簇平均曲线的[峰值/(峰值到达时间×半高宽)]最大时,该簇像素的平均曲线则被视为动脉输入函数.选取20例健康被试的灌注数据进行测试,通过与传统手动方法进行比较,证实所提方法的临床可适用性.结果表明,基于k-means簇分析的半自动方法提取的动脉输入函数优于人工方法,提高了计算的准确性和可靠性,减少了分析时间和操作者依赖.The manual method for the detection of arterial input function (AIF)in cerebral perfusion based on DSC-MRI technique was not only time-consuming but also user-dependent, meanwhile, the accuracy and reproducibility were not very satisfactory. To solve this problem, a semi-automatic AIF detection method based on k-means cluster analysis is suggested. The pixels in the region of interest( ROI) were divided into several clusters and the mean curve of each cluster was calculated. A measure, [ peak value / ( time to peak ×full width at half maximum) ], was calculated for each mean curve, and the one with the maximum measured value was used to determine the AIF. Twenty subjects were taken part in the research. By comparing with the result derived from the traditional manual method, the clinical feasibility was validated. The result demonstrated that the AIF obtained from the semi-automatic method based on k-means cluster analysis was superior to that based on traditional manual method. In conclusion, the semiautomatic selection of AIF based on the k-means cluster analysis can not only reduce the analysis time and observer dependence, but also improve the calculation accuracy and reliability.
关 键 词:脑灌注 动态敏感对比 动脉输入函数 血液动力学参数 簇分析
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.62