This model performs a factor analysis (FA) on dynamic data. Two TACs must be specified:
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.
The factors are displayed in the Results panel together with the TACs to be examined or exported.
Map Parameters
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. |