Fig 1.
Exemplary workflow for perfusion measurement in a single swine.
Exemplary workflow for perfusion measurement in a single swine.
Fig 2.
Pre- and post-LMCM difference images.
Pre- and post-LMCM difference images. T1-weighted TSE and GRE images were acquired before and after local injection of contrast agent into the right femoral artery. There is significant brightening of the area supplied by the femoral artery (represented here on the left side of the axial MR images of the pig’s abdomen).
Fig 3.
Muscle segmentation and examples of tissue blood curves.
Muscle segmentation and examples of tissue blood curves obtained by averaging over all segment voxels. The adenosine response and thus the flow increase were inhomogeneously distributed over the different muscle segments. The dash-dot line represents the measurement of the first flow state in which a flow of 174 mL/min was measured at the femoral artery with the Doppler flow probe. The dashed (solid) line represents the second (third) measurement with a Doppler flow of 309 (456) mL/min.
Fig 4.
Diagrams of the one- and two-compartment model.
Diagrams of the one- and two-compartment model.
Fig 5.
Examples of correction of the arterial input function (AIF).
Examples of correction of the arterial input function (AIF). The case in question is for the lower leg and belongs to the blood-tissue curves from the example presented in the Results section.
Fig 6.
Coronal image of a dynamic GRE scan.
Coronal image of a dynamic GRE scan obtained eight seconds after bolus arrival. Also shown are examples of the three arterial input function measurements in the abdominal aorta.
Fig 7.
Fitting results for the two different models (one-compartment (1C) and two-compartment (2C)).
Fitting results for the two different models (one-compartment (1C) and two-compartment (2C)) and for different flow levels. The solid line represents the tissue blood data and the dashed-dotted line represents the fitting result. The dotted (dashed) line shows the fitting result for the capillary (arteriolar) compartment.
Fig 8.
Regression of the corrected DCE-MRI models.
Regression of the corrected DCE-MRI model results with the Doppler flow values for the one-compartment model (A) and for the F-test selection method (B). The solid line represents the linear regression fit of the measured data (circles). The dotted line depicts the standard deviation of the data related to the linear regression.
Fig 9.
Regression of the uncorrected DCE-MRI model.
Regression of the uncorrected DCE-MRI model results with the Doppler flow values for the F-test selection method. The solid line represents the linear regression fit of the measured data (circles). The dotted line depicts the standard deviation of the data related to the linear regression.
Table 1.
Mean perfusion values in four different Doppler flow regions and for the different muscle segments.
Fig 10.
Correlation of the corrected DCE-MRI model results.
Correlation of the corrected DCE-MRI model results with the Doppler flow values for the F-test selection method in the different muscle segments. The measurements are plotted using blue dots and the significant correlations (P<0.05) using a red line.
Fig 11.
Regression of the corrected DCE-MRI model results.
Regression of the corrected DCE-MRI model results with the Doppler flow values for the F-test selection method. The solid line represents the linear regression fit of the measured data with the capillary contribution of the model flow values (circles). The dashed line depicts the linear regression fit of the measured data with the arteriolar contribution of the model flow values (squares).