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Fig 2. Low-grade glioma (grade II/IV) in left frontal lobe, T2-weighted (A) and contrast T1-weighted (B) images. The rCBVmax method uses 4 small ROIs targeted to foci of greatest perfusion on the rCBV map (C), with the maximal rCBV recorded from the subsequent perfusion curves (E). The signal intensity curves from each of the 5 ROIs are denoted as S1, S2, S3, S4, and S5, where S1 is the signal intensity curve for the ROI placed in normal brain and S2–S5 are the other ROIs placed in the tumoral tissue. These 5 signal intensity curves were obtained from a single section from the perfusion dataset. The rCBV histogram method uses a single ROI (D) that encompasses the maximal tumor diameter to generate the histogram curve (F), from which multiple metrics are derived.
