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Topology preserving brain tissue segmentation using graph cuts
By: Prince, J.; Carass, A.; Bazin, P.-L.; Xinyang Liu;
2012 / IEEE / 978-1-4673-0354-5
This item was taken from the IEEE Conference ' Topology preserving brain tissue segmentation using graph cuts ' In segmentation of magnetic resonance brain images, it is important to maintain topology of the segmented structures. In this work, we present a framework to segment multiple objects in a brain image while preserving the topology of each object as given in an initial topological template. The framework combines the advantages of digital topology and several existing techniques in graph cuts segmentation. The proposed technique can handle any given topology and enforces object-level relationships with little constraint over the geometry. We apply our algorithm to brain tissue segmentation and demonstrate its accuracy and computational efficiency.
Magnetic Resonance Brain Image Segmentation
Segment Multiple Objects
Initial Topological Template
Graph Cut Segmentation
Medical Image Processing
Topology Preserving Brain Tissue Segmentation