Abstract
This paper describes a new method for the automated segmentation of MRI images of brain tumors. The algorithm is an iterative, hierarchical approach that integrates a statistical classification scheme and anatomical knowledge from an aligned digital atlas. For validation, the method was applied to 10 tumor cases in different locations in the brain including meningiomas and astrocytomas (grade 1-3). The brain and tumor segmentation results were compared to manual segmentations carried out by 4 independent medical experts. It is demonstrated that the algorithm produces results of comparable accuracy to those of the manual segmentations in a shorter time.
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© 1999 Springer-Verlag Berlin Heidelberg
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Kaus, M., Warfield, S.K., Jolesz, F.A., Kikinis, R. (1999). Adaptive Template Moderated Brain Tumor Segmentation in MRI. In: Evers, H., Glombitza, G., Meinzer, HP., Lehmann, T. (eds) Bildverarbeitung für die Medizin 1999. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60125-5_19
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DOI: https://doi.org/10.1007/978-3-642-60125-5_19
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