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Proceedings Paper

An SPM12 extension for multiple sclerosis lesion segmentation
Author(s): Eloy Roura; Arnau Oliver; Mariano Cabezas; Sergi Valverde; Deborah Pareto; Joan C. Vilanova; Lluís Ramió-Torrentà; Àlex Rovira; Xavier Lladó
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Paper Abstract

Purpose: Magnetic resonance imaging is nowadays the hallmark to diagnose multiple sclerosis (MS), characterized by white matter lesions. Several approaches have been recently presented to tackle the lesion segmentation problem, but none of them have been accepted as a standard tool in the daily clinical practice. In this work we present yet another tool able to automatically segment white matter lesions outperforming the current-state-of-the-art approaches. Methods: This work is an extension of Roura et al. [1], where external and platform dependent pre-processing libraries (brain extraction, noise reduction and intensity normalization) were required to achieve an optimal performance. Here we have updated and included all these required pre-processing steps into a single framework (SPM software). Therefore, there is no need of external tools to achieve the desired segmentation results. Besides, we have changed the working space from T1w to FLAIR, reducing interpolation errors produced in the registration process from FLAIR to T1w space. Finally a post-processing constraint based on shape and location has been added to reduce false positive detections. Results: The evaluation of the tool has been done on 24 MS patients. Qualitative and quantitative results are shown with both approaches in terms of lesion detection and segmentation. Conclusion: We have simplified both installation and implementation of the approach, providing a multiplatform tool1 integrated into the SPM software, which relies only on using T1w and FLAIR images. We have reduced with this new version the computation time of the previous approach while maintaining the performance.

Paper Details

Date Published: 21 March 2016
PDF: 6 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97842N (21 March 2016); doi: 10.1117/12.2216703
Show Author Affiliations
Eloy Roura, Univ. de Girona (Spain)
Arnau Oliver, Univ. de Girona (Spain)
Mariano Cabezas, Hospital Univ. Vall d’Hebron (Spain)
Sergi Valverde, Univ. de Girona (Spain)
Deborah Pareto, Hospital Univ. Vall d’Hebron (Spain)
Joan C. Vilanova, Girona Magnetic Resonance Ctr. (Spain)
Lluís Ramió-Torrentà, Dr. Josep Trueta Univ. Hospital (Spain)
Àlex Rovira, Hospital Univ. Vall d’Hebron (Spain)
Xavier Lladó, Univ. de Girona (Spain)

Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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