Dynamic Data Processing

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Dynamic Data Processing

PCARDP implements the following features for data processing of dynamic PET data:

Calculation of anatomical images representing blood volume (BV) and myocardium (MYO) from the dynamic uptake series. Depending on the tracer, early and late images are averaged, or alternatively a factor analysis can be applied (water only).

Calculation of time-activity curves (TAC) from the left ventricle (LV), the right ventricle (RV), as well as from different segments of the myocardium.

Fitting of adequate kinetic models to the segmental TACs to quantify the tissue parameters such as perfusion or glucose consumption.

Calculation of parametric perfusion maps (for NH3 data only). Use of the perfusion maps to perform an analysis of the transmural perfusion gradient.

Combination of the results to quantify myocardium function in well-defined sectors specified by the American Society of Nuclear Cardiology (ASNC) and the American Heart Association (AHA).

Generation of a normals database from a set of quantification results obtained from a cohort of healthy volunteers. Subject results can then be compared against the normal database to quantify deviations in terms of z-scores.