Quantitative Analysis of Feature Parameter in Brain Tumor CT Perfusion Image

VernacularTitle:CT脑肿瘤灌注特征参数定量分析与研究
Author: Ling ZHONG ; Zhencheng CHEN ; Hongli LIN ; Ping XU
Publication Type:Journal Article
Keywords: Computed Aided Diagnosis(CAD); CT perfusion imaging; cerebral tumor; time-density curve (TDC); hemodynamic parameter.
From: Chinese Journal of Medical Physics 2010;27(1):1616-1620
CountryChina
Language:Chinese
Abstract: Objective:The abstraction of characteristics in CT perfusion image is crucial in the clinical diagnosis of brain infarction and cerebral tumor.Methods:After describing the relevant parameters of CT cerebral perfusion imaging,such as cerebral blood flow (CBF),cerebral blood volume (CBV),the mean transition time (MTT) and the permeability surface (PS).With using Visual C ++ programming and CT scan images sequence obtained,the time-density curves of the brain tumor region were visualized.The more accurate hemodynamic parameters were calculated through an improved algorithm basing on the deconvolution and measuring method of the length,angle,area and other parameters.Conclusion:The quantitative analysis of feature parameter is of great benefit to clinical doctor in making timely diagnosis and treatment of brain tumor.