A biphasic parameter estimation method for quantitative analysis of dynamic renal scintigraphic data.
Dynamic renal scintigraphy is an established method in nuclear medicine, commonly used for the assessment of renal function. In this paper, a biphasic model fitting method is proposed for simultaneous estimation of both vascular and parenchymal parameters from renal scintigraphic data. These parameters include the renal plasma flow, vascular and parenchymal mean transit times, and the glomerular extraction rate. Monte Carlo simulation was used to evaluate the stability and confidence of the parameter estimates obtained by the proposed biphasic method, before applying the method on actual patient study cases to compare with the conventional fitting approach and other established renal indices. The various parameter estimates obtained using the proposed method were found to be consistent with the respective pathologies of the study cases. The renal plasma flow and extraction rate estimated by the proposed method were in good agreement with those previously obtained using dynamic computed tomography and magnetic resonance imaging.
Koh
T S
TS
Center for Modeling and Control of Complex Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
Zhang
Jeff L
JL
Ong
C K
CK
Shuter
B
B
D003198:Computer Simulation; D004730:Endothelium, Vascular / Q000473:pathology; D005919:Glomerular Filtration Rate; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007674:Kidney Diseases / Q000000981:diagnostic imaging* / Q000473:pathology; D008279:Magnetic Resonance Imaging; D008954:Models, Biological; D009010:Monte Carlo Method; D011866:Radioisotope Renography; D012079:Renal Circulation; D014057:Tomography, X-Ray Computed