Skip to main content
. 2020 Jul 17;64:149–187. doi: 10.1016/j.inffus.2020.07.006

Table 5.

Classification of PVC methods (RB = region-based; VB = voxel-based).

Category Method Definition Benefits Limitations Examples
RB Recovery coefficients (RC) They are numerical calculated in the image domain as a ratio of measured radioactivity concentration and actual concentration using spheres filled with a known radioactivity concentration Fairly simple Practical Popular within clinical trials More related to oncology [369,370]
PET raw data Instead of using the image domain, the sinogram is used Low computational cost Some methods require segmentation [371], [372], [373]
Geometric transfer matrix (GTM) method Average uptake is estimated considering multiple ROIs using co-registered anatomical images Commonly used Good accuracy Requires segmentation Bias [374], [375], [376], [377]
VB Image reconstruction Spatial resolution is recovered within the image reconstruction process. It is highly recommended to use iterative reconstruction algorithms. The most relevant drawback of this is the high number of iterations needed Increase the quality of reconstruction Computational cost [378], [379], [380], [381]
Image deconvolution Spatial resolution is recovered by using a post-reconstruction restoration technique (deconvolution) that applies the point spread function (PSF). Iterative algorithms are commonly used Compensation of spill-over effects Computational cost [382]
Multi-resolution approach Spatial resolution is recovered by using information from spatially coregistered high-resolution anatomical images, which allows transfer high spatial frequencies from anatomical to functional images Adjust of radioactivity concentration Used in brain imaging In poorly correlated areas the amount of artifacts increases [383]
Anatomical images First, a segmentation of a coregistered anatomical image is done. Then, PVE correction is applied to the set of voxels associated with each region/class (tissue) Highly used in brain imaging Need segmentation Two classes: [364,365] Three classes: [366] Four classes: [367]