Abstract
Flow assessments by indocyanine green videoangiography (ICG-VA) has become common to evaluate cerebral blood flow during vascular surgery. In order to obtain detailed flow information, we have developed a new software named “Flow-Insight” based on the principle of perfusion image processing. In this study, we applied “Flow-Insight” to digital subtraction angiography (DSA) to investigate arrival time (AT), blood volume (BV) and mean transit time (MTT) during endovascular surgery. “Flow-Insight” imported serial DSA data in DICOM format, and calculated integration of a time-intensity curve over time in each pixel for quantitative analysis. We predicted a thrombotic problem by observing delayed BV in a case with an unruptured aneurysm. In addition, several parameters from this application might be reliable predictors, critical alarms and treatment prognosis for endovascular surgery.
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