Extended kalman filtering for the modeling and analysis of ICG pharmacokinetics in cancerous tumors using NIR optical methods. Export

@article{Alacam2006, abstract = {Compartmental modeling of indocyanine green (ICG) pharmacokinetics, as measured by near infrared (NIR) techniques, has the potential to provide diagnostic information for tumor differentiation. In this paper, we present three different compartmental models to model the pharmacokinetics of ICG in cancerous tumors. We introduce a systematic and robust approach to model and analyze ICG pharmacokinetics based on the extended Kalman filtering (EKF) framework. The proposed EKF framework effectively models multiple-compartment and multiple-measurement systems in the presence of measurement noise and uncertainties in model dynamics. It provides simultaneous estimation of pharmacokinetic parameters and ICG concentrations in each compartment. Moreover, the recursive nature of the Kalman filter estimator potentially allows real-time monitoring of time varying pharmacokinetic rates and concentration changes in different compartments. Additionally, we introduce an information theoretic criteria for the best compartmental model order selection, and residual analysis for the statistical validation of the estimates. We tested our approach using the ICG concentration data acquired from four Fischer rats carrying adenocarcinoma tumor cells. Our study indicates that, in addition to the pharmacokinetic rates, the EKF model may provide parameters that may be useful for tumor differentiation.}, author = {Alacam, Burak and Yazici, Birsen and Intes, Xavier and Chance, Britton}, citeulike-article-id = {2642919}, journal = {IEEE Trans Biomed Eng}, keywords = {adenocarcinoma, algorithms, animals, bibtex-import, biological, cell, clearance, computer, computer-assisted, diagnosis, drbbibtex-import, f344, green, inbred, indocyanine, infrared, line, metabolic, models, rate, rats, simulation, spectrophotometry, tumor}, month = {Oct}, number = {10}, pages = {1861--1871}, posted-at = {2008-04-08 22:43:37}, priority = {2}, title = {Extended kalman filtering for the modeling and analysis of ICG pharmacokinetics in cancerous tumors using NIR optical methods.}, volume = {53}, year = {2006} }

TY - JOUR ID - Alacam2006 L3 - citeulike-article-id:2642919 N2 - Compartmental modeling of indocyanine green (ICG) pharmacokinetics, as measured by near infrared (NIR) techniques, has the potential to provide diagnostic information for tumor differentiation. In this paper, we present three different compartmental models to model the pharmacokinetics of ICG in cancerous tumors. We introduce a systematic and robust approach to model and analyze ICG pharmacokinetics based on the extended Kalman filtering (EKF) framework. The proposed EKF framework effectively models multiple-compartment and multiple-measurement systems in the presence of measurement noise and uncertainties in model dynamics. It provides simultaneous estimation of pharmacokinetic parameters and ICG concentrations in each compartment. Moreover, the recursive nature of the Kalman filter estimator potentially allows real-time monitoring of time varying pharmacokinetic rates and concentration changes in different compartments. Additionally, we introduce an information theoretic criteria for the best compartmental model order selection, and residual analysis for the statistical validation of the estimates. We tested our approach using the ICG concentration data acquired from four Fischer rats carrying adenocarcinoma tumor cells. Our study indicates that, in addition to the pharmacokinetic rates, the EKF model may provide parameters that may be useful for tumor differentiation. IS - 10 JF - IEEE Trans Biomed Eng EP - 1871 TI - Extended kalman filtering for the modeling and analysis of ICG pharmacokinetics in cancerous tumors using NIR optical methods. VL - 53 SP - 1861 KW - adenocarcinoma KW - algorithms KW - animals KW - bibtex-import KW - biological KW - cell KW - clearance KW - computer KW - computer-assisted KW - diagnosis KW - drbbibtex-import KW - f344 KW - green KW - inbred KW - indocyanine KW - infrared KW - line KW - metabolic KW - models KW - rate KW - rats KW - simulation KW - spectrophotometry KW - tumor AU - Alacam, Burak AU - Yazici, Birsen AU - Intes, Xavier AU - Chance, Britton PY - 2006/Oct// ER -