Segmentation of newborn brain MRI

Segmentation of newborn brain MRI
复制标题

新生儿脑部 MRI 分割

DOI:
10.1109/isbi.2006.1625029
复制
发表时间:
2006
期刊:
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006.
影响因子:
--
通讯作者:
S. Warfield
S. Warfield
中科院分区:
--
文献类型:
--
作者:
N. Weisenfeld;A. Mewes;S. Warfield

文献摘要

被引文献

相似文献

由于与老年受试者相比,感兴趣组织之间的MR信号强度对比度降低,因此分割新生儿脑图像具有挑战性。在本文中,我们讨论了一种新的策略,我们目前正在采用我们的新生儿大脑的研究和贝叶斯框架内的分割问题。我们验证了这种方法和以前发表的方法,从我们的小组对一组手动绘制的分割结果。在处理特别具有挑战性的数据时,我们能够以更快的速度和更好的易用性实现良好到卓越的结果
Segmenting neonatal brain images is challenging due to reduced MR signal-intensity contrast between tissues of interest compared to older subjects. In this paper we discuss a new strategy that we are currently employing in our neonatal brain studies and present the segmentation problem within a Bayesian framework. We show results validating this method and a previously published method from our group against a group of manually drawn segmentations. We achieve good to excellent results, on particularly challenging data, with greater speed and ease of use