Journal of Nuclear Cardiology

, Volume 20, Issue 1, pp 64–75 | Cite as

Validation of an axially distributed model for quantification of myocardial blood flow using 13N-ammonia PET

  • Adam M. Alessio
  • James B. Bassingthwaighte
  • Robb Glenny
  • James H. Caldwell
Original Article

Abstract

Background

Estimation of myocardial blood flow (MBF) with cardiac PET is often performed with conventional compartmental models. In this study, we developed and evaluated a physiologically and anatomically realistic axially distributed model. Unlike compartmental models, this axially distributed approach models both the temporal and the spatial gradients in uptake and retention along the capillary.

Methods

We validated PET-derived flow estimates with microsphere studies in 19 (9 rest, 10 stress) studies in five dogs. The radiotracer, 13N-ammonia, was injected intravenously while microspheres were administered into the left atrium. A regional reduction in hyperemic flow was forced by an external occluder in five of the stress studies. The flow estimates from the axially distributed model were compared with estimates from conventional compartmental models.

Results

The mean difference between microspheres and the axially distributed blood flow estimates in each of the 17 segments was 0.03 mL/g/minute (95% CI [−0.05, 0.11]). The blood flow estimates were highly correlated with each regional microsphere value for the axially distributed model (y = 0.98x + 0.06 mL/g/minute; r = 0.74; P < .001), for the two-compartment (y = 0.64x + 0.34; r = 0.74; P < .001), and for three-compartment model (y = 0.69x + 0.54; r = 0.74; P < .001). The variance of the error of the estimates is higher with the axially distributed model than the compartmental models (1.7 [1.3, 2.1] times higher).

Conclusion

The proposed axially distributed model provided accurate regional estimates of MBF. The axially distributed model estimated blood flow with more accuracy, but less precision, than the evaluated compartmental models.

Keywords

Myocardial blood flow cardiac PET quantitative PET dynamic imaging NH3 

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Copyright information

© American Society of Nuclear Cardiology 2012

Authors and Affiliations

  • Adam M. Alessio
    • 1
  • James B. Bassingthwaighte
    • 1
    • 2
  • Robb Glenny
    • 3
    • 4
  • James H. Caldwell
    • 1
    • 2
    • 3
  1. 1.Department of RadiologyUniversity of WashingtonSeattleUSA
  2. 2.Department of BioengineeringUniversity of WashingtonSeattleUSA
  3. 3.Department of MedicineUniversity of WashingtonSeattleUSA
  4. 4.Departments of Physiology and BiophysicsUniversity of WashingtonSeattleUSA

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