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rBV (Autorad): Quantification with one Static Scan

This model performs a factor analysis (FA) on dynamic data. Two TACs must be specified:

  1. One TAC which reflects the temporal evolution of activity in the tissue of interest (variate TAC; e.g. myocardium in cardiac studies).
  2. One TAC which reflects the temporal evolution of activity opposite to the tissue of interest (covariate TAC; e.g. ventricle in cardiac studies).

With these time activity curves a factor analysis is performed, resulting in two sets of factors (one factor per time). These factors are applied during pixel-wise processing to calculate the variate and covariate factor images.

Acquisition and Data Requirements

Image Data

Any dynamic volume data.

TAC 1

Time-activity curve of the tissue of interest.

TAC 2

Time-activity curve of the tissue to be differentiated from the tissue of interest.

Model Preprocessing

During preprocessing the variate and covariate factors are calculated using the two specified TACs.

PXMOD FA Model-Preprocessing

The factors are displayed in the Results panel together with the TACs to be examined or exported.

PXMOD FA Pre-Processing Result

Model Configuration

PXMOD FA Pre-Processing Result

Var

The variate image is calculated by summing the products vari*TACi over all time points. Here vari represents the variate weights, and TACi the value at the i-th frame of the pixel.

Covar

Covariate calculated by summing the products covari*TACi over all time points. covari represents the covariate weights, and TACi the value at the i-th frame of the pixel.