Influence of Corrections During Image Reconstruction on the Spatial Resolution of ClearPET Neuro
The small-animal PET scanner ClearPET Neuro developed at the Research Centre in Jülich is based on an unconventional scanner geometry. It represents axial and transaxial gaps that lead to sinograms with missing data. Images reconstructed from uncorrected data include artefacts and a high variation of spatial resolution between different slices. Methods to compensate these artefacts are applied by taking the geometrical sensitivity into account. In this work the effects of compensation strategies with regard to the slice by slice variation of spatial resolution are examined.
KeywordsLine Source Compensation Strategy Medical Engineer Uncorrected Data Radial Resolution
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