Hiroyuki Kabasawa1, Tetsuji Tsukamoto1
1Japan Applied Science Laboratory, GE Yokogawa Medical Systems, Hino-shi, Tokyo, Japan
The automated arterial input and venous output function (AIF and VOF) is crucial to improve stroke diagnosis workflow and to reduce the variation of perfusion analysis result. The quality of AIF and VOF is also critical for perfusion quantification. We have developed the automated AIF/VOF detection algorithm based on the perfusion parametric joint histogram analysis. We showed that the VOF detection accuracy was significantly improved, by adding the averaged tracer concentration after bolus passages information into the joint histogram analysis.