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Neuroradiology
Erschienen in: Neuroradiology 8/2012

01.08.2012 | Continuing Education

Automated detection of multiple sclerosis lesions in serial brain MRI

verfasst von: Xavier Lladó, Onur Ganiler, Arnau Oliver, Robert Martí, Jordi Freixenet, Laia Valls, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira

Erschienen in: Neuroradiology | Ausgabe 8/2012

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Abstract

Introduction

Multiple sclerosis (MS) is a serious disease typically occurring in the brain whose diagnosis and efficacy of treatment monitoring are vital. Magnetic resonance imaging (MRI) is frequently used in serial brain imaging due to the rich and detailed information provided.

Methods

Time-series analysis of images is widely used for MS diagnosis and patient follow-up. However, conventional manual methods are time-consuming, subjective, and error-prone. Thus, the development of automated techniques for the detection and quantification of MS lesions is a major challenge.

Results

This paper presents an up-to-date review of the approaches which deal with the time-series analysis of brain MRI for detecting active MS lesions and quantifying lesion load change. We provide a comprehensive reference source for researchers in which several approaches to change detection and quantification of MS lesions are investigated and classified. We also analyze the results provided by the approaches, discuss open problems, and point out possible future trends.

Conclusion

Lesion detection approaches are required for the detection of static lesions and for diagnostic purposes, while either quantification of detected lesions or change detection algorithms are needed to follow up MS patients. However, there is not yet a single approach that can emerge as a standard for the clinical practice, automatically providing an accurate MS lesion evolution quantification. Future trends will focus on combining the lesion detection in single studies with the analysis of the change detection in serial MRI.
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Metadaten
Titel
Automated detection of multiple sclerosis lesions in serial brain MRI
verfasst von
Xavier Lladó
Onur Ganiler
Arnau Oliver
Robert Martí
Jordi Freixenet
Laia Valls
Joan C. Vilanova
Lluís Ramió-Torrentà
Àlex Rovira
Publikationsdatum
01.08.2012
Verlag
Springer-Verlag
Erschienen in
Neuroradiology / Ausgabe 8/2012
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-011-0992-6

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