4D PET iterative deconvolution with spatiotemporal regularization for quantitative dynamic PET imaging

Quantitative measurements in dynamic PET imaging are usually limited by the poor counting statistics particularly in short dynamic frames and by the low spatial resolution of the detection system, resulting in partial volume effects (PVEs). In this work, we present a fast and easy to implement metho...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2015-09, Vol.118, p.484-493
Hauptverfasser:	Reilhac, Anthonin, Charil, Arnaud, Wimberley, Catriona, Angelis, Georgios, Hamze, Hasar, Callaghan, Paul, Garcia, Marie-Paule, Boisson, Frederic, Ryder, Will, Meikle, Steven R., Gregoire, Marie-Claude
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Animals Brain - diagnostic imaging Humans Image Processing, Computer-Assisted - methods Kinetic modeling Medical imaging Medical Physics Methods Monte Carlo Method Neuroimaging - methods NMR Noise Nuclear magnetic resonance Parameter estimation Partial volume effects PET Physics Positron-Emission Tomography - methods Rats Studies
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