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. 2016 Dec;6(1):68.
doi: 10.1186/s13550-016-0215-6. Epub 2016 Aug 1.

Quantification of myocardial blood flow with (82)Rb: Validation with (15)O-water using time-of-flight and point-spread-function modeling

Affiliations

Quantification of myocardial blood flow with (82)Rb: Validation with (15)O-water using time-of-flight and point-spread-function modeling

Mary Germino et al. EJNMMI Res. 2016 Dec.

Abstract

Background: We quantified myocardial blood flow with (82)Rb PET using parameters of the generalized Renkin-Crone model estimated from (82)Rb and (15)O-water images reconstructed with time-of-flight and point spread function modeling. Previous estimates of rubidium extraction have used older-generation scanners without time-of-flight or point spread function modeling. We validated image-derived input functions with continuously collected arterial samples.

Methods: Nine healthy subjects were scanned at rest and under pharmacological stress on the Siemens Biograph mCT with (82)Rb and (15)O-water PET, undergoing arterial blood sampling with each scan. Image-derived input functions were estimated from the left ventricle cavity and corrected with tracer-specific population-based scale factors determined from arterial data. Kinetic parametric images were generated from the dynamic PET images by fitting the one-tissue compartment model to each voxel's time activity curve. Mean myocardial blood flow was determined from each subject's (15)O-water k 2 images. The parameters of the generalized Renkin-Crone model were estimated from these water-based flows and mean myocardial (82)Rb K 1 estimates.

Results: Image-derived input functions showed improved agreement with arterial measurements after a scale correction. The Renkin-Crone model fit (a = 0.77, b = 0.39) was similar to those previously published, though b was lower.

Conclusions: We have presented parameter estimates for the generalized Renkin-Crone model of extraction for (82)Rb PET using human (82)Rb and (15)O-water PET from high-resolution images using a state-of-the-art time-of-flight-capable scanner. These results provide a state-of-the-art methodology for myocardial blood flow measurement with (82)Rb PET.

Keywords: Image-derived input function; Myocardial blood flow; Rubidium-82 PET; TOF PET.

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Figures

Fig. 1
Fig. 1
a Example myocardium volume of interest (VOI), overlaid on a K 1 image in horizontal long axis (HLA) and short axis (SA). b Example VOI for estimating image-derived right ventricle (blue) and left ventricle (red) TACs, overlaid on a composite image of three early 82Rb frames
Fig. 2
Fig. 2
Rate-pressure products (RPP) for 82Rb scans versus 15O-water scans. The dashed line is the identity line. Rest RPP was measured immediately before scan start. Stress RPP is averaged over 4 min post-injection
Fig. 3
Fig. 3
Arterial input functions (AIFs) and image-derived input functions (IDIFs) corrected using parameters estimated for these scans from a typical a 82Rb scan and b 15O-water scan. In both cases, weighted-least-squares (WLS)-based scaling (green) and area-under-the-curve (AUC)-based scaling corrections are nearly identical. The two-parameter (partial-volume-corrected) PVC IDIFs were omitted from these plots, as they were virtually identical to the scale-corrected IDIFs (green, orange curves)
Fig. 4
Fig. 4
Short-axis parametric images for one subject’s 15O-water and 82Rb rest and stress scans, generated with different input functions. a K 1 parametric images, b k 2 parametric images, and c V A parametric images. Background outside the heart has been omitted for display. AIF arterial sample-based input function, IDIF image-derived input function. Right ventricle spillover correction term (V RV) not included
Fig. 5
Fig. 5
a Comparison of mean myocardial 82Rb K 1 values using scale-corrected IDIFs vs. AIF. b Comparison of mean myocardial 15O-water k 2 values. Parameters were estimated with the three-parameter model (omitting right ventricle spillover term). The solid lines and equations represent fits from Deming regression. The dashed line is the identity line. AIF arterial sample-based input function, IDIF image-derived input function
Fig. 6
Fig. 6
Renkin-Crone model fit of K 1 and myocardial blood flow from three-parameter kinetic model using scale-corrected image-derived input function. The dashed lines represent 95 % confidence interval of the regression line
Fig. 7
Fig. 7
Comparison of this study’s Renkin-Crone model fit to published fits
Fig. 8
Fig. 8
Bland-Altman plot comparing 15O-water myocardial blood flow (MBF) to 82Rb MBF, using scaled image-derived input functions. Mean percent difference is −3.2 %. The dashed lines show 95 % confidence intervals

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