Ga-DOTATOC and Ga-DOTATATE are radiolabeled somatostatin analogs used for the diagnosis of somatostatin receptor-expressing neuroendocrine tumors (NETs), and SUV measurements are suggested for treatment monitoring. However, changes in net influx rate () may better reflect treatment effects than those of the SUV, and accordingly there is a need to compute parametric images showing at the voxel level. The aim of this study was to evaluate parametric methods for computation of parametric images by comparison to volume of interest (VOI)-based methods and to assess image contrast in terms of tumor-to-liver ratio. Ten patients with metastatic NETs underwent a 45-min dynamic PET examination followed by whole-body PET/CT at 1 h after injection ofGa-DOTATOC and Ga-DOTATATE on consecutive days. Parametric images were computed using a basis function method (BFM) implementation of the 2-tissue-irreversible-compartment model and the Patlak method using a descending aorta image-derived input function, and mean tumor values were determined for 50% isocontour VOIs and compared with values based on nonlinear regression (NLR) of the whole-VOI time-activity curve. A subsample of healthy liver was delineated in the whole-body and images, and tumor-to-liver ratios were calculated to evaluate image contrast. Correlation () and agreement between VOI-based and parametric values were assessed using regression and Bland-Altman analysis. The between NLR-based and parametric image-based (BFM) tumor values was 0.98 (slope, 0.81) and 0.97 (slope, 0.88) for Ga-DOTATOC andGa-DOTATATE, respectively. For Patlak analysis, the between NLR-based and parametric-based (Patlak) tumor was 0.95 (slope, 0.71) and 0.92 (slope, 0.74) for Ga-DOTATOC andGa-DOTATATE, respectively. There was no bias between NLR and parametric-based values. Tumor-to-liver contrast was 1.6 and 2.0 times higher in the parametric BFM images and 2.3 and 3.0 times in the Patlak images than in the whole-body images for Ga-DOTATOC andGa-DOTATATE, respectively. A high and agreement between NLR- and parametric-based values was found, showing that images are quantitatively accurate. In addition, tumor-to-liver contrast was superior in the parametric images compared with whole-body images for bothGa-DOTATOC and Ga DOTATATE.