title: Functional Imaging: Dynamic Contrast-Enhanced CT using a Distributed-Parameter Physiologic Model for Accessing Stroke and Intracranial Tumor.
abstract: Functional imaging has the potential to be a practical and widely-available method of studying the pathphysiology of disease using modern CT and MRI technologies. With the high temporal resolution achievable by these technologies, a two-compartment distributed-parameter model, which more accurate represents the tracer concentration within the vascular space, was applied on two patients' data with intracranial tumor and stroke. The parametric maps successfully generated were more informative than the current commercial software packages and the commonly used lumped-parameter compartmental models.
authors.affiliation: Center for Modeling and Control of Complex Systems, Nanyang Technological University, Singapore; Center for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. E-mail: Dennis_LHCheong@pmail.ntu.edu.sg.
authors.forename: L H
authors.initials: LH
authors.lastname: Dennis Cheong
authors.forename: C K
authors.initials: CK
authors.lastname: Markus Tan
authors.forename: T S
authors.initials: TS
authors.lastname: Koh
authors.forename: C C
authors.initials: CC
authors.lastname: Tchoyoson Lim
authors.forename: Sotirios
authors.initials: S
authors.lastname: Bisdas