Incorporation of wavelet-based denoising in iterative deconvolution for partial volume correction in whole-body PET imaging

Abstract

The appropriate combination of deconvolution and wavelet-based denoising is an efficient method for reducing PVEs in emission tomography.

Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma

“…In order to investigate the dependency of heterogeneity quantification on PVE, all PET images were corrected for PVE using a voxel-based iterative deconvolution approach including wavelet-based denoising previously validated for PET imaging [33]. MATVs were subsequently delineated on the deconvolved PET images using FLAB and all image derived parameters considered were extracted (figure 2).…”

Impact of Partial-Volume Effect Correction on the Predictive and Prognostic Value of Baseline 18F-FDG PET Images in Esophageal Cancer

“…Images were corrected for PVE using an iterative deconvolution methodology that has been previously validated (22). Its principle is to iteratively estimate the inversion of the scanner's point spread function, which is assumed to be known and spatially invariant in the field of view.…”

Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

“…Examples include partitionbased [10][11][12][13] or multiresolution [14][15][16] methods, though these techniques typically include simplifying assumptions. Iterative deconvolution 17 is another possibility, but can lead to enhanced noise levels (though promising enhancements involving regularization 18 or denoising 19 have been noted). An alternative approach to PVC (that also reduces image noise) has been to incorporate anatomical information within the PET image reconstruction task 20 (from MRI or CT images, e.g., as are readily available and fairly reliably coaligned in dual-modality PET/CT imaging 21,22 and increasingly so with emerging PET/MRI imaging [23][24][25] ).…”