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A Fast Nonlinear Method for Parametric Imaging of Myocardial Perfusion by Dynamic 13N-Ammonia PET

S. Raymond Golish, Jens D. Hove, Heinrich R. Schelbert and Sanjiv S. Gambhir

Crump Institute for Molecular Imaging and Departments of Computer Science, Molecular and Medical Pharmacology, and Biomathematics, University of California, Los Angeles, Los Angeles, California; and Rigshospitalet, Copenhagen, Denmark



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FIGURE 1. Example of 1 simulated pair of blood and tissue time–activity curves. Curve that spikes is blood time–activity curve. Smooth line is continuous activity; {triangledown} = integrated activity; {triangleup} = noisy activity (final time–activity curve). Curve that does not spike is tissue time–activity curve. Smooth line is continuous activity; {circ} = integrated activity; x = noisy activity (final time–activity curve). For simulation: perfusion = 1.0; spillover = 0.0; blood time–activity curve noise level = 2%; tissue time–activity curve noise level = 20%; all other parameters are drawn at random from Table 1. Note high noise level in tissue time–activity curve and sampling error at 5 s for blood time–activity curve = {triangledown}.

 


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FIGURE 2. Graphical representation of sigmoidal networks. Here, r is dimensionality of input, s is number of basis functions, and each node represents dot product of input and local weights, followed by a sigmoidal transfer function. Output node has linear transfer function (linear regression on basis functions). Sigmoidal network for perfusion imaging has 20 inputs (10 samples each of blood and tissue time–activity curve), 52 basis functions, and 1 output (perfusion). Use of single output is explained in Discussion.

 


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FIGURE 3. Parametric images of myocardial perfusion by NRE (A), WNLR (B), and Patlak analysis (C). Pseudocolored scale bar shows units of mL/min/g. Ischemic region at upper right is caused by vessel ligation.

 


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FIGURE 4. Scatter plot of NRE versus WNLR ({circ}) and Patlak analysis versus WNLR (x) for 32 ROIs taken from 4 canine subjects. Least squares line fits are also shown.

 





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