Model Configuration and Assumptions

Starting from the operational equation of the blood-based Logan plot, Ichise et al. derived three multi-linear reference tissue model variants MRTM0, MRTM and MRTM2 [1]. They all assume an initial equilibration time t* from which on the derived multi-linear relation holds. However, if kinetics in the target tissue can be described by a 1-tissue compartment model (an assumption required for the SRTM), all data can be used for the fitting (t*=0). Otherwise an adequate t* value has to be determined.

Assuming the presence of receptor-devoid reference region TAC C_{T}'(t), the target tissue TAC C_{T}(t) is plotted as a function of the transformed tissue TACs as illustrated below. For the calculation of BP_{ND} it is assumed that the non-displaceable distribution volumes in the tissue and reference regions are identical.

Operational Model Curve

When applied to noisy data such as single-pixel TACs in parametric mapping, the MRTM method still suffers from a high variability. Assuming a known value of the reference tissue clearance rate k_{2}' the MRTM operational equation can be reformulated as the MRTM2 operational equation:

with only two regression coefficients V_{T}/(V_{T}'b) and 1/b for T > t*. The multi-linear relationship above can be fitted using multi-linear regression, yielding three regression coefficients. The binding potential is then calculated from the ratio of the two regression coefficients as

For receptor ligands with 1-tissue kinetics such as [11C]DASB the multi-linear equation is correct from t*=0, and the clearance rate constant from the tissue to plasma k_{2} is equal to the negative value of the second regression coefficient, -(1/b). Furthermore, R_{1 }= K_{1}/K'_{1}, the relative radioligand delivery, equals the first regression coefficient divided by k_{2}'.

Parameter Fitting

After switching to the **Ichise NonInvasive MRTM2** model a suitable reference region must be selected. It allows fitting the multi-linear operational equation to the tissue TAC using the data segment starting from **t*** and a fixed value of **k2'** which needs to be specified. The results are the two regression coefficients, and the binding potential **BPnd**.

A reasonable value of **t*** can be estimated based on the error criterion **Max Err**. For instance, if **Max Err.** is set to 10% and the fit box of **t*** is checked, the model searches the earliest sample such that the deviation between the regression and all measurements is less than 10%. Samples earlier than the **t*** time are disregarded for regression and thus painted in gray. In order to apply the analysis to the same data segment in all regions, please switch off the fit box of **t***, propagate the model with the **Copy to all Regions** button, and then activate **Fit all regions**.

**Note:** The k_{2}'_{ }resulting from the SRTM or MRTM method may be a suitable estimate for use in MRTM2. Therefore, when switching in PKIN from the SRTM or MRTM model to MRTM2, k_{2}'_{ }is automatically copied, if the **Model conversion** option in the **Extras **panel is enabled. Further suggestions how to obtain an adequate k2' value are given above.

Reference

1. Ichise M, Liow JS, Lu JQ, Takano A, Model K, Toyama H, Suhara T, Suzuki K, Innis RB, Carson RE: Linearized reference tissue parametric imaging methods: application to [11C]DASB positron emission tomography studies of the serotonin transporter in human brain. J Cereb Blood Flow Metab 2003, 23(9):1096-1112. DOI