Matus Straka1, Gregory W. Albers2,
Roland Bammer1
1Radiology, Stanford University,
Stanford, CA, United States; 2Stroke Center, Stanford University
Medical Center, Stanford, CA, United States
Routine
acquisition of DSC-MRI PWI datasets highly benefits from full automated
post-processing. Selection of arterial input and venous output function is a
key step that ensures robustness and reliability of unsupervised processing.
A novel method of AIF and VOF selection is proposed by means of tubular
filtering and simple analysis of mean temporal signals. Weighting factors the
favor arterial and venous signals, as well as vessel orientations are
derived. As a result, robustness of AIF and VOF selection was improved.