Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

Authors:
Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet;Joan C. Vilanova;Ana Quiles;Laia Valls;Lluís Ramió-Torrentí;ílex Rovira
Affiliations:
Dept. of Computer Architecture and Technology, University of Girona, Spain;Dept. of Computer Architecture and Technology, University of Girona, Spain;Dept. of Computer Architecture and Technology, University of Girona, Spain;Dept. of Computer Architecture and Technology, University of Girona, Spain;Girona Magnetic Resonance Center, Girona, Spain;Dept. of Radiology, Dr. Josep Trueta University Hospital, Girona, Spain;Dept. of Radiology, Dr. Josep Trueta University Hospital, Girona, Spain;Multiple Sclerosis and Neuroimmunology Unit, Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain;Magnetic Resonance Unit, Dept of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain
Venue:
Information Sciences: an International Journal
Year:
2012

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Abstract

Automatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely investigated in recent years with the goal of helping MS diagnosis and patient follow-up. However, the performance of most of the algorithms still falls far below expert expectations. In this paper, we review the main approaches to automated MS lesion segmentation. The main features of the segmentation algorithms are analysed and the most recent important techniques are classified into different strategies according to their main principle, pointing out their strengths and weaknesses and suggesting new research directions. A qualitative and quantitative comparison of the results of the approaches analysed is also presented. Finally, possible future approaches to MS lesion segmentation are discussed.