Publication | Closed Access
Generalized linear least squares method for fast generation of myocardial blood flow parametric images with N-13 ammonia PET
52
Citations
23
References
1998
Year
Computed TomographyHeart FailureEngineeringFast GenerationBiomedical EngineeringLinear Least SquaresBlood FlowPositron Emission TomographyImage AnalysisGlls MethodBiostatisticsMbf Parametric ImagesCardiologyBlood Flow MeasurementCardiac MechanicRadiologyCardiovascular ImagingMedical ImagingN-13 Ammonia PetMedical Image ComputingBiomedical ComputingCardiovascular DiseaseBiomedical ImagingMedicineAnesthesiology
In this paper, the authors developed and tested strategies for estimating myocardial blood flow (MBF) and generating MBF parametric images using positron emission tomography (PET), N-13 ammonia, and the generalized linear least square (GLLS) method. GLLS was generalized to the general linear compartment model, modified for the correction of spillover, validated using simulated N-13 ammonia data, and examined using PET data from several patient studies. In comparison to the standard model-fitting procedure, the GLLS method provided similar accuracy and superior computational speed.
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