The success of brain surgery depends on the exact and effective treatment of pathological alterations while preserving functional tissue and essential vessels. Varying intraoperative imaging methods have been developed to achieve this goal. For cortical perfusion imaging, application of time-resolved thermography in combination with an intravenously applied cold bolus became a promising approach. This work provides a regularized semiparametric regression framework that detects the cold signal response function while compensating arbitrary background signals using penalized B-Splines. This enables weak thermal signal detection to give information about blood flow even in small vessels, applicable for intraoperative cortical blood flow mapping.
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