A method for estimating myocardial blood flow, the method comprising: a processing device applying a pharmacological kinetic model to a data set stored in a storage device, the data set derived from an imaging technique based on monitoring fluid based tracers in a left ventricle, a right ventricle, and myocardium, wherein the pharmacological kinetic model includes: incorporating a model of changing concentrations of bound fluid based tracers, unbound fluid based tracers, and blood plasma fluid based tracers into a standard factor analysis of dynamic structures model combined with a model of fluid based tracer activity in the left ventricle as a time shifted and dispersed function of blood flow from the right ventricle; the processing device outputting a processed data set based on the application of the pharmacological kinetic model to the data set for providing a representation of blood flow in the myocardium, characterized by the processing device estimating parameters of the standard factor analysis of dynamic structures model by: estimating a left ventricle tissue activity curve, a right ventricle tissue activity curve, and a tissue activity curve, wherein the left ventricle tissue activity curve is assumed to be approximately equal to a response of an mth-order, all-pole filter applied to the right ventricle tissue activity curve, and determining a set of parameters that produce a smallest least-squares error for the pharmacological kinetic model. a processing device applying a pharmacological kinetic model to a data set stored in a storage device, the data set derived from an imaging technique based on monitoring fluid based tracers in a left ventricle, a right ventricle, and myocardium, wherein the pharmacological kinetic model includes: incorporating a model of changing concentrations of bound fluid based tracers, unbound fluid based tracers, and blood plasma fluid based tracers into a standard factor analysis of dynamic structures model combined with a model of fluid based tracer activity in the left ventricle as a time shifted and dispersed function of blood flow from the right ventricle; the processing device outputting a processed data set based on the application of the pharmacological kinetic model to the data set for providing a representation of blood flow in the myocardium, incorporating a model of changing concentrations of bound fluid based tracers, unbound fluid based tracers, and blood plasma fluid based tracers into a standard factor analysis of dynamic structures model combined with a model of fluid based tracer activity in the left ventricle as a time shifted and dispersed function of blood flow from the right ventricle; the processing device outputting a processed data set based on the application of the pharmacological kinetic model to the data set for providing a representation of blood flow in the myocardium, the processing device estimating parameters of the standard factor analysis of dynamic structures model by: estimating a left ventricle tissue activity curve, a right ventricle tissue activity curve, and a tissue activity curve, wherein the left ventricle tissue activity curve is assumed to be approximately equal to a response of an mth-order, all-pole filter applied to the right ventricle tissue activity curve, and determining a set of parameters that produce a smallest least-squares error for the pharmacological kinetic model. estimating a left ventricle tissue activity curve, a right ventricle tissue activity curve, and a tissue activity curve, wherein the left ventricle tissue activity curve is assumed to be approximately equal to a response of an mth-order, all-pole filter applied to the right ventricle tissue activity curve, and determining a set of parameters that produce a smallest least-squares error for the pharmacological kinetic model.