Background: To assess hypoperfused cerebral parenchyma, the period to limit of the tissue residue feature (Tmax) is a widely used parameter. The post-processing programme to measure Tmax, on the other hand, is a problem because it is optional, costly, and requires a powerful workstation.
The aim of this study was
to show how to build a perfusion imaging analysis workflow that produces
accurate and repeatable Tmax maps. The perfusion signal is estimated from the
data given by the MRI method, which is the first step in the quantification process.
After that, the curve is transformed into a focus curve. The Arterial Input
Function (AIF) is then determined using an automated process, followed by
deconvolution using the Singular Value Decomposition (SVD). Finally, we
measured the parameter Tmax and used thresholds to produce the mapping of this
parameter.
Healthy volunteers, patients with reported brain infarction, and two patients
with no mismatch were used to assess the clinical utility. The Tmax parameter's
output was also compared to that of the standard semi-quantitative analysis
(time-to-peak (TTP) parameter).
Please see the link :- https://www.ikprress.org/index.php/JIRMEPS/article/view/5623
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