29. Models

NOTE: May 11, 2022. Current FireVoxel Build 381.
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The following models are available via Dynamic Analysis > Calculate Parametric Map in a dropdown menu labeled Model (see Fig. 28.1). Only models compatible with the current dataset are shown to the user. The compatible models are selected automatically based on the DICOM header information of the images in the current layer.

  1. Signal measurements

    Model 0 Signal measurements

    Fig. 29.1 Model 0.

  2. Signal intensity

    Model 1 Signal intensity

    Fig. 29.2 Model 1.

  3. Peak analysis

    Model 2 Peak analysis

    Fig. 29.3 Model 2.

  4. Interleaved 2-state profile

    Model 3 Interleaved two-state profile

    Fig. 29.4 Model 3.

  5. Reference curve distance and correlation: 1IF

    Model 4 Reference curve distance and correlation

    Fig. 29.5 Model 4.

  6. Time of active rise

    Model 5 Time of active rise

    Fig. 29.6 Model 5.

  7. Model 6

  8. Model 7

  9. Tofts two compartment exchange model {k-trans, Ve}: I1IF

    Model 8 Basic Tofts model without vascular term

    Fig. 29.7 Model 8.

  10. Modified Tofts two compartment exchange model {k-trans, Ve, Va}: 1IF

    Model 9 Modified Tofts model with vascular term

    Fig. 29.8 Model 9.

  11. RPF\vACx (AIF integration): 1IF

Model 10 Renal plasma flow with AIF integration

Fig. 29.9 Model 10.

  1. RPF\vACx (AIF convolution): 1IF

Model 11 Renal plasma flow with AIF convolution

Fig. 29.10 Model 11.

  1. Model 12

  2. Transit Model {wa,ki,kti} (AIF convolution): 1IF

Model 13 Transit Model

Fig. 29.11 Model 13.

  1. GKM with two site water exchange: 1IF

Model 14 General Kinetic Model with two site exchange

Fig. 29.12 Model 14.

  1. Dual Input (Arterial\Portal Vein): {k_trans, V_e, Artf}: 2IF

Model 15 Dual Input

Fig. 29.13 Model 15.

16-21. Models 16-21

  1. S = M0*(1-exp(-TD/T1)) with 6 fixed TD values

Model 22 Monoexponential with six fixed TD values

Fig. 29.14 Model 22.

  1. S=M0*(1-exp(-TD/T1)) – 2 variables, TD=(700/4000) or TD=(350,700,1050,1750,2450,4000)

Model 23 Monoexponential 2 variables

Fig. 29.15 Model 23.

24-42. Models 24-42

  1. 2CXM {vp,ve,Fp,PS} simplex optimization [Flouri 2016]: 1IF

Model 43 Two compartmental exchange model simplex optimization

Fig. 29.16 Model 43.

  1. Model 44

  2. 2CXM {vp,ve,Fp,PS} – LLS: 1IF

Model 45 Two-compartment exchange model

Fig. 29.17 Model 45.

  1. Same as 43? 2CXM {vp,ve,Fp,PS} simplex optimization [Flouri 2016]: 1IF

Model 46 Two-compartment exchange model

Fig. 29.18 Model 46.

  1. Tissue Uptake Model {vp,Fp,PS} simplex optimization [Sourbron 2013]: 1IF

Model 47 Tissue Uptake Model

Fig. 29.19 Model 47.

  1. Model 48

  2. MR 2-Compartment Reference Region model [Yankeelov 2005]: 1IF

Model 49 2-Compartment Reference Region model

Fig. 29.20 Model 49.

  1. Model 50

  2. Model 51

  3. Gamma Variate fit: Y(t) = K*((t-TA)/Tspan)^alpha*exp(-(t-TA)/Tspan/beta))

Model 52 Gamma Variate fit

Fig. 29.21 Model 52.

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