MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Many methods have been proposed for tissue segmentation in brain MRI scans. The multitude of methods proposed complicates the choice of one method above others. We have therefore established the MRBrainS online evaluation framework for evaluating (semi)automatic algorithms that segment gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) on 3T brain MRI scans of elderly subjects (65–80 y). Participants apply their algorithms to the provided data, after which their results are evaluated and ranked. Full manual segmentations of GM, WM, and CSF are available for all scans and used as the reference standard. Five datasets are provided for training and fifteen for testing. The evaluated methods are ranked based on their overall performance to segment GM, WM, and CSF and evaluated using three evaluation metrics (Dice, H95, and AVD) and the results are published on the MRBrainS13 website. We present the results of eleven segmentation algorithms that participated in the MRBrainS13 challenge workshop at MICCAI, where the framework was launched, and three commonly used freeware packages: FreeSurfer, FSL, and SPM. The MRBrainS evaluation framework provides an objective and direct comparison of all evaluated algorithms and can aid in selecting the best performing method for the segmentation goal at hand.
Date Issued
2015-12-31
Date Acceptance
2015-08-19
Citation
Computational Intelligence and Neuroscience, 2015, 2015
ISSN
1687-5273
Publisher
Hindawi Publishing Corporation
Journal / Book Title
Computational Intelligence and Neuroscience
Volume
2015
Copyright Statement
Copyright © 2015 Adrienne M. Mendrik et al. This is an open access article distributed under the Creative Commons Attribution ¨
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited
License URL
Subjects
Science & Technology
Life Sciences & Biomedicine
Mathematical & Computational Biology
Neurosciences
Neurosciences & Neurology
SURFACE-BASED ANALYSIS
PATTERN-RECOGNITION
TISSUE
VOLUMES
CLASSIFICATION
ALGORITHMS
EXTRACTION
FSL
Neurology & Neurosurgery
1109 Neurosciences
1702 Cognitive Science
Publication Status
Published
Article Number
813696