Publication | Closed Access
Accurate EM-TV algorithm in PET with low SNR
104
Citations
17
References
2008
Year
Unknown Venue
Image ReconstructionEngineeringPet-mriReconstruction ProcessPet MeasurementsElectromagnetic CompatibilityNonlinear Variational MethodsStatistical Signal ProcessingSignal ReconstructionComputational ImagingDance ImagesRadiation ImagingNuclear MedicineRadiologyHealth SciencesCardiovascular ImagingReconstruction TechniqueMedical ImagingComputer EngineeringInverse ProblemsSignal ProcessingArray ProcessingAccurate Em-tv AlgorithmBiomedical Imaging
PET measurements of tracers with a lower dose rate or short radioactive half life suffer from extremely low SNRs. In these cases standard reconstruction methods (OSEM, EM, filtered backprojection) deliver unsatisfactory and noisy results. Here, we propose to introduce nonlinear variational methods into the reconstruction process to make an efficient use of a-priori information and to attain improved imaging results. We illustrate our technique by evaluating cardiac H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">15</sup> O measurements. The general approach can also be used for other specific goals allowing to incorporate a-priori information about the solution with Poisson distributed data.
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