MIPS Molecular Imaging Program at Stanford

Sanjiv Sam Gambhir, MD, PhD

Publication Details

  • A fast nonlinear method for parametric imaging of myocardial perfusion by dynamic (13)N-ammonia PET.

    Golish SR, Hove JD, Schelbert HR, Gambhir SS. J Nucl Med. 2001; 42 (6): 924-31

    A parametric image of myocardial perfusion (mL/min/g) is a quantitative image generated by fitting a tracer kinetic model to dynamic (13)N-ammonia PET data on a pixel-by-pixel basis. There are several methods for such parameter estimation problems, including weighted nonlinear regression (WNLR) and a fast linearizing method known as Patlak analysis. Previous work showed that sigmoidal networks can be used for parameter estimation of mono- and biexponential models. The method used in this study is a hybrid of WNLR and sigmoidal networks called nonlinear regression estimation (NRE). The purpose of the study is to compare NRE with WNLR and Patlak analysis for parametric imaging of perfusion in the canine heart by (13)N-ammonia PET.

    PubMedID: 11390558

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