MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
复制标题
DOI：
10.1155/2015/813696
复制
发表时间：
2015
影响因子：
--
通讯作者：
Viergever MA
中科院分区：
文献类型：
--
作者：
Mendrik AM;Vincken KL;Kuijf HJ;Breeuwer M;Bouvy WH;de Bresser J;Alansary A;de Bruijne M;Carass A;El-Baz A;Jog A;Katyal R;Khan AR;van der Lijn F;Mahmood Q;Mukherjee R;van Opbroek A;Paneri S;Pereira S;Persson M;Rajchl M;Sarikaya D;Smedby Ö;Silva CA;Vrooman HA;Vyas S;Wang C;Zhao L;Biessels GJ;Viergever MA
已经提出了许多用于脑MRI扫描中的组织分割的方法。所提出的多种方法使选择其中一种方法变得复杂。因此，我们建立了MRBrainS在线评估框架，用于评估在老年受试者（65-80岁）的3 T脑部MRI扫描上分割灰质（GM）、白色物质（WM）和脑脊液（CSF）的（半）自动算法。参与者将他们的算法应用于所提供的数据，然后对他们的结果进行评估和排名。GM、WM和CSF的完全手动分割可用于所有扫描并用作参考标准。提供了五个数据集用于训练，十五个用于测试。评估的方法根据其分割GM、WM和CSF的整体性能进行排名，并使用三个评估指标（Dice、H95和AVD）进行评估，结果发布在MRBrainS 13网站上。我们提出了11个分割算法的结果，参加了MRBrainS 13挑战研讨会在MICCAI，在那里推出的框架，和三个常用的免费软件包：FreeSurfer，FSL和SPM。MRBrainS评估框架提供了对所有评估算法的客观和直接比较，并可以帮助选择最佳执行方法以实现手头的分割目标。
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.