A survey of MRI-based medical image analysis for brain tumor studies

Bauer, Stefan; Wiest, Roland; Nolte, Lutz-Peter; Reyes, Mauricio (2013). A survey of MRI-based medical image analysis for brain tumor studies. Physics in medicine and biology, 58(13), R97-R129. Bristol: Institute of Physics Publishing IOP 10.1088/0031-9155/58/13/R97

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MRI-based medical image analysis for brain tumor studies is gaining attention in recent times due to an increased need for efficient and objective evaluation of large amounts of data. While the pioneering approaches applying automated methods for the analysis of brain tumor images date back almost two decades, the current methods are becoming more mature and coming closer to routine clinical application. This review aims to provide a comprehensive overview by giving a brief introduction to brain tumors and imaging of brain tumors first. Then, we review the state of the art in segmentation, registration and modeling related to tumor-bearing brain images with a focus on gliomas. The objective in the segmentation is outlining the tumor including its sub-compartments and surrounding tissues, while the main challenge in registration and modeling is the handling of morphological changes caused by the tumor. The qualities of different approaches are discussed with a focus on methods that can be applied on standard clinical imaging protocols. Finally, a critical assessment of the current state is performed and future developments and trends are addressed, giving special attention to recent developments in radiological tumor assessment guidelines.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Bauer, Stefan; Wiest, Roland; Nolte, Lutz-Peter and Reyes, Mauricio

Subjects:

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

ISSN:

0031-9155

Publisher:

Institute of Physics Publishing IOP

Language:

English

Submitter:

Mauricio Antonio Reyes Aguirre

Date Deposited:

04 Oct 2013 14:39

Last Modified:

05 Jan 2015 15:21

Publisher DOI:

10.1088/0031-9155/58/13/R97

PubMed ID:

23743802

Web of Science ID:

000320506500001

BORIS DOI:

10.7892/boris.15734

URI:

https://boris.unibe.ch/id/eprint/15734 (FactScience: 223163)

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