A distributed parameter model of cerebral blood-tissue exchange with account of capillary transit time distribution

作     者：Koh, TS Cheong, LHD Tan, CKM Lim, CCT 

作者机构：Nanyang Technol Univ Sch Elect & Elect Engn Ctr Modeling & Control Complex Syst Singapore 639798 Singapore Nanyang Technol Univ Sch Elect & Elect Engn Ctr Signal Proc Singapore 639798 Singapore Natl Inst Neurosci Dept Neuroradiol Singapore 308433 Singapore 

出 版 物：《NEUROIMAGE》 (神经图像)

年 卷 期：2006年第30卷第2期

页      面：426-435页

核心收录：

学科分类：1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 1010[医学-医学技术（可授医学、理学学位）] 1009[医学-特种医学] 10[医学] 

主　　题：cerebral blood flow microcirculation tracer kinetics modeling distributed parameter models compartmental modeling dynamic contrast-enhanced imaging 

摘      要：Quantitative estimates of physiological parameters associated with cerebral blood flow can be derived from the analysis of dynamic contrast-enhanced (DCE) images, using an appropriate model of the underlying tissue impulse residue function. The theoretical formulation of a distributed parameter model of tissue microcirculation, which accounts for the effects of capillary permeability and transit time distribution, is presented here. This model considers a statistical distribution of capillary-tissue units, each described by a distributed parameter model that accounts for convective transport within the capillary and transcapillary axial diffusion. Monte Carlo simulations were performed to stud), the confidence of the parameter estimates, and the model was used to analyze DCE CT images of patient study cases with metastatic cerebral tumors. The tumors were found to yield significantly higher estimates than normal tissues for the parameters associated with the extravasation of tracer and for the standard deviation of capillary transit times. The proposed model can be used with DCE imaging to study the microcirculatory characteristics of cerebral tumors. (c) 2005 Elsevier Inc. All rights reserved.