Atlas-based Segmentation of Tumor-bearing Brain Images

Bauer, Stefan; Wiest, Roland; Slotboom, Johannes; Reyes, Mauricio (2014). Atlas-based Segmentation of Tumor-bearing Brain Images. In: Hayat, M.A. (ed.) Molecular Mechanisms, Children's Cancer, Treatments, and Radiosurgery. Tumors of the Central Nervous System: Vol. 12 (pp. 159-169). Dordrecht: Springer 10.1007/978-94-007-7217-5_14

	Text BauerBook2013.pdf - Accepted Version Restricted to registered users only Available under License Publisher holds Copyright. Download (625kB)
	Text BauerBook2014.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (322kB)

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.

Interest & Impact

Downloads

7 since deposited on 09 Oct 2014
0 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item