title: Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging.
abstract: The monoexponential model is widely used in quantitative biomedical imaging. Notable applications include apparent diffusion coefficient (ADC) imaging and pharmacokinetics. The application of ADC imaging to the detection of malignant tissue has in turn prompted several studies concerning optimal experiment design for monoexponential model fitting. In this paper, we propose a new experiment design method that is based on minimizing the determinant of the covariance matrix of the estimated parameters (D-optimal design). In contrast to previous methods, D-optimal design is independent of the imaged quantities. Applying this method to ADC imaging, we demonstrate its steady performance for the whole range of input variables (imaged parameters, number of measurements, and range of b-values). Using Monte Carlo simulations we show that the D-optimal design outperforms existing experiment design methods in terms of accuracy and precision of the estimated parameters.
authors.affiliation: Department of Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Alipoor
authors.affiliation: Department of Radiology, Sahlgrenska University Hospital, Gothenburg University, 41345 Gothenburg, Sweden.
authors.forename: Stephan E
authors.initials: SE
authors.lastname: Maier
authors.affiliation: Department of Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden.
authors.forename: Irene Yu-Hua
authors.initials: IY
authors.lastname: Gu
authors.affiliation: Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, Perth, WA 6009, Australia.
authors.forename: Andrew
authors.initials: A
authors.lastname: Mehnert
authors.affiliation: Department of Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden.
authors.forename: Fredrik
authors.initials: F
authors.lastname: Kahl
mesh_terms: D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical
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