Journal article

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

David Robben, Engin Tueretken, Stefan Sunaert, Vincent Thijs, Guy Wilms, Pascal Fua, Frederik Maes, Paul Suetens



We present a novel algorithm for the simultaneous segmentation and anatomical labeling of the cerebral vasculature. Unlike existing approaches that first attempt to obtain a good segmentation and then perform labeling, we optimize for both by simultaneously taking into account the image evidence and the prior knowledge about the geometry and connectivity of the vasculature. This is achieved by first constructing an overcomplete graph capturing the vasculature, and then selecting and labeling the subset of edges that most likely represents the true vasculature. We formulate the latter problem as an Integer Program (IP), which can be solved efficiently to provable optimality. We evaluate our a..

View full abstract


Awarded by KU Leuven's Concerted Research Action

Funding Acknowledgements

David Robben is supported by a Ph.D. fellowship of the Research Foundation - Flanders (FWO). The MRA brain images from healthy volunteers used in this paper were collected and made available by the CASILab at The University of North Carolina at Chapel Hill and were distributed by the MIDAS Data Server at Kitware Inc. We would also like to thank the authors of Bogunovic et al. (2013) for sharing their centerline delineations. This work was supported by KU Leuven's Concerted Research Action GOA/11/006 and by the EU ERC project MicroNano.