Christoph Seeger1, 2, Alexander Brost1, Mircea C. Dobre1, Nancy J. Fischbein1, Zhaoying Han1, Julian R. Maclaren1, Sjoerd B. Vos1, 3, Joachim Hornegger2, Roland Bammer1
1Center for Quantitative Neuroimaging, Department of Radiology, Stanford University, Stanford, CA, United States; 2Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany; 3Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands
We present a fully automatic post-processing method for 3D time-of-flight MR Angiograms. The method produces maximum intensity projections of pre-specified regions of interest that are warped to a patient using the non-rigid deformation field obtained from registration. We evaluated the method using a three-point Likert scale to proof that it performs at least as good as the current manual clinical method.