A cooperative framework for segmentation of MRI brain scans
A cooperative framework for segmentation of MRI brain scans
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DOI：
10.1016/s0933-3657(00)00054-3
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发表时间：
2000-08-01
影响因子：
7.5
通讯作者：
Garbay, C
中科院分区：
文献类型：
--
作者：
Germond, L;Dojat, M;Garbay, C
MRI脑扫描的自动分割是一项复杂的任务，主要有两个原因：人脑解剖结构的巨大可变性限制了一般知识的使用，以及MRI采集固有的图像中存在的难以处理的伪影。为了解决这些困难，我们建议在合作框架中混合由互补的单个系统提供和使用的几种类型的信息和知识：目前，多智能体系统，可变形模型和边缘检测器。结果是由一组区域和边缘代理执行的合作分割，这些代理由两者自动和动态地约束，所考虑的图像中的特定灰度，大脑结构的统计模型和MRI脑部扫描的一般知识。个体系统之间的相互作用遵循三种合作模式：整合合作、增强合作和对抗合作，并在分割过程的三个步骤中结合起来，即种子区域生长因子的专业化、异质信息的融合和对切片的逆向反应。所描述的协作框架允许对每个MRI脑扫描的自身特征动态调整分割过程。本文报道了利用真实脑影对其进行评价。(C) 2000 Elsevier Science B.V.版权所有
Automatic segmentation of MRI brain scans is a complex task for two main reasons: the large variability of the human brain anatomy, which limits the use of general knowledge and, inherent to MRI acquisition, the artifacts present in the images that are difficult to process. To tackle these difficulties, we propose to mix, in a cooperative framework, several types of information and knowledge provided and used by complementary individual systems: presently, a multi-agent system, a deformable model and an edge detector. The outcome is a cooperative segmentation performed by a set of region and edge agents constrained automatically and dynamically by both, the specific gray levels in the considered image, statistical models of the brain structures and general knowledge about MRI brain scans. Interactions between the individual systems follow three modes of cooperation: integrative, augmentative and confrontational cooperation, combined during the three steps of the segmentation process namely, the specialization of the seeded-region-growing agents, the fusion of heterogeneous information and the retroaction over slices. The described cooperative framework allows the dynamic adaptation of the segmentation process to the own characteristics of each MRI brain scan. Its evaluation using realistic brain phantoms is reported. (C) 2000 Elsevier Science B.V. All rights reserved.