Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11170
Title: Optimal sampling schedule design for positron emission tomography data acquisition
Authors: Feng, D
Li, X
Siu, WC 
Keywords: Biomedical systems
Data acquisition
Modeling
Optimal experiment design
Parameter estimation
Issue Date: 1997
Source: Control engineering practice, 1997, v. 5, no. 12, p. 1759-1766 How to cite?
Journal: Control Engineering Practice 
Abstract: Biomedical function imaging and tracer kinetic modeling with Positron Emission Tomography (PET) are based on continuous data acquisition and time accumulated counts measurements. In dynamic cardiac studies, both the model input and output measurements are obtained simultaneously from the same sequence of PET images. In this paper, techniques in general PET optimal sampling schedule design for tracer kinetic modeling, based on continuous data acquisition and time accumulated counts measurements, are introduced. A special case in which simultaneous optimal sampling schedule design is required for both input and output measurements is also introduced.Biomedical function imaging and tracer kinetic modeling with Positron Emission Tomography (PET) are based on continuous data acquisition and time accumulated counts measurements. In dynamic cardiac studies, both the model input and output measurements are obtained simultaneously from the same sequence of PET images. In this paper, techniques in general PET optimal sampling schedule design for tracer kinetic modeling, based on continuous data acquisition and time accumulated counts measurements, are introduced. A special case in which simultaneous optimal sampling schedule design is required for both input and output measurements is also introduced.
URI: http://hdl.handle.net/10397/11170
ISSN: 0967-0661
DOI: 10.1016/S0967-0661(97)10032-6
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