In diagnostic neuroradiology as well as in radiation oncology and neurosurgery, there is an increasing demand for accurate segmentation of tumor-bearing brain images. Atlas-based segmentation is an appealing automatic technique thanks to its robustness and versatility. However, atlas-based segmentation of tumor-bearing brain images is challenging due to the confounding effects of the tumor in the patient image. In this article, we provide a brief background on brain tumor imaging and introduce the clinical perspective, before we categorize and review the state of the art in the current literature on atlas-based segmentation for tumor-bearing brain images. We also present selected methods and results from our own research in more detail. Finally, we conclude with a short summary and look at new developments in the field, including requirements for future routine clinical use.
CITATION STYLE
Sonoda, Y., Shibahara, I., Saito, R., Kumabe, T., & Tominaga, T. (2011). The Role of IDH1 and IDH2 Mutations in Malignant Gliomas. In Tumors of the Central Nervous System, Volume 2 (pp. 47–52). Springer Netherlands. https://doi.org/10.1007/978-94-007-0618-7_6
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