Dattesh D. Shanbhag1, Sandeep N. Gupta2, Kumar T. Rajamani1, Yingxuan Zhu3, Rakesh Mullick4
1Medical Image Analysis Laboratory, GE Global Research, Bangalore, Karnataka, India; 2Biomedical Image Processing Laboratory, GE Global Research, Niskayuna, NY, United States; 3Image Analytics Laboratory, GE Global Research, Niskayuna, NY, United States; 4GE Global Research, Biosignatures & Signal Processing, Bangalore, Karnataka, India
A completely automated and generalized methodology for detection of vascular input functions with dynamic contrast enhancement data is presented. The technique is demonstrated for brain and prostate DCE data with excellent correlation (~0.97) between manually defined VIF and that detected using automated method. The method provides consistent and reliable VIF well suited to anatomy being studied: in brain (sagittal sinus) and in prostate (femoral artery