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

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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.

Item Type:

Book Section (Book Chapter)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Reyes, Mauricio

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISBN:

978-94-007-7217-5

Series:

Tumors of the Central Nervous System

Publisher:

Springer

Language:

English

Submitter:

Mauricio Antonio Reyes Aguirre

Date Deposited:

09 Oct 2014 08:49

Last Modified:

02 Mar 2023 23:25

Publisher DOI:

10.1007/978-94-007-7217-5_14

BORIS DOI:

10.7892/boris.54105

URI:

https://boris.unibe.ch/id/eprint/54105

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