title: An automatic approach for estimating bolus arrival time in dynamic contrast MRI using piecewise continuous regression models.
abstract: We present two regression models for the automatic estimation of bolus arrival times (BATs) in dynamic contrast MRI datasets. Results of Monte Carlo simulation experiments show that the means and standard deviations of the estimated BATs are within the sampling interval even in the presence of significant noise.
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798.
authors.forename: L H
authors.initials: LH
authors.lastname: Cheong
authors.forename: T S
authors.initials: TS
authors.lastname: Koh
authors.forename: Z
authors.initials: Z
authors.lastname: Hou
mesh_terms: D003198:Computer Simulation; D003287:Contrast Media / Q000493:pharmacokinetics*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media