Segmentation of brain MRI in young children.
Segmentation of brain MRI in young children.
复制标题
幼儿脑部 MRI 的分割。
DOI：
10.1007/11866565_84
复制
发表时间：
2006
影响因子：
4.8
通讯作者：
D. Rueckert
中科院分区：
文献类型：
--
作者：
M. Murgasova;L. Dyet;David D. Edwards;M. Rutherford;J. Hajnal;D. Rueckert
理由和目标
本文涉及幼儿脑磁共振成像 (MRI) 的自动组织分割。
材料和方法
我们研究了为成人大脑开发的最先进方法应用于幼儿大脑 MRI 分割的适用性。我们开发了一种使用单一手动分割来创建幼儿特定人群图谱的方法。该方法基于分割到总体中的非线性传播以及随后到参考空间的仿射对齐和平均。
结果
使用这种方法，我们显着提高了幼儿脑部 MRI 流行的期望最大化算法的性能。该方法可用于构建具有任意数量结构的概率图集。我们将结果算法与基于非刚性配准的标签传播进行比较。
结论
最后，这两种方法都用于测量七个大脑结构的体积，并测量 1 至 2 岁之间的生长情况。
RATIONALE AND OBJECTIVES
This article deals with an automatic tissue segmentation of brain magnetic resonance imaging (MRI) in young children.
MATERIALS AND METHODS
We examine the suitability of state-of-the-art methods developed for the adult brain when applied to the segmentation of the brain MRI in young children. We develop a method of creation of a population-specific atlas in young children using a single manual segmentation. The method is based on nonlinear propagation of the segmentation into population and subsequent affine alignment into a reference space and averaging.
RESULTS
Using this approach, we significantly improve the performance of the popular expectation-maximization algorithm on brain MRI in young children. The method can be used for building probabilistic atlases with any number of structures. We compare resulting algorithm with nonrigid registration-based label propagation.
CONCLUSIONS
Finally, both methods are used to measure the volume of seven brain structures and measure the growth between 1 and 2 years of age.