Impact of tracer distribution, count level, iterations and post-smoothing on PET quantification using a variously weighted least squares algorithm

This work is a task-oriented quantitative analysis to assess the best range of reconstruction algorithms parameters which are most suited for quantitative PET imaging of the brain. Starting from a general iterative weighted-least squares objective function, well-known methods such as the Maximum Lik...

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Bibliographische Detailangaben
Hauptverfasser: Letourneau, Etienne, Verhaeghe, Jeroen, Reader, Andrew J.
Format: Tagungsbericht
Sprache:eng
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