Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising.

ABSTRACT:

Background

Accurate quantification of PET studies depends on the spatial resolution of the PET data. The commonly limited PET resolution results in partial volume effects (PVE). Iterative deconvolution methods (IDM) have been proposed as a means to correct for PVE. IDM improves spatial resolution of PET studies without the need for structural information (e.g. MR scans). On the other hand, deconvolution also increases noise, which results in lower signal-to-noise ratios (SNR). The aim of this study was to implement IDM in combination with HighlY constrained back-PRojection (HYPR) denoising to mitigate poor SNR properties of conventional IDM.

Methods

An anthropomorphic Hoffman brain phantom was filled with an [¹⁸F]FDG solution of ~25 kBq mL^-1 and scanned

SUBMITTER: Golla SSV 

PROVIDER: S-EPMC5400775 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature