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Abstract #2584

Automatic Brain Tumor Segmentation & Tumor Tissue Classification Based on Multiple MR Protocols

Astrid Franz1, Henriette Tschampa2, Andreas Mller2, Stefanie Remmele1, Jochen Keupp1, Jrgen Gieseke3, Hans Heinz Schild2, Petra Mrtz2

1Philips Research, Hamburg, Germany; 2Department of Radiology, University Hospital Bonn, Bonn, Germany; 3Philips Healthcare, Hamburg, Germany

We present a nearly automatic segmentation and classification algorithm for human brain tumor tissue working on a combination of magnetic resonance T1 weighted contrast enhanced images and FLAIR images, based on a simple region growing technique. Algorithmic parameters are adapted automatically in the course of growing. The only required user interaction is a mouse click for providing the starting point. The algorithm is robust, i.e. independent of the given starting point within the tumor, and avoids leakage. We validated the algorithm on 20 test cases of human glioblastoma and meningioma. In 85% of the test cases we got satisfactory results.