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本文引用的文献

1
Adaptive segmentation of MRI data.MRI 数据的自适应分割。
IEEE Trans Med Imaging. 1996;15(4):429-42. doi: 10.1109/42.511747.
2
Familial risk for Alzheimer's disease alters fMRI activation patterns.阿尔茨海默病的家族风险会改变功能磁共振成像激活模式。
Brain. 2006 May;129(Pt 5):1229-39. doi: 10.1093/brain/awl089.
3
Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction, and slice location.应用于当代和传统图像的自动去颅骨方法的定量评估:诊断、偏差校正和切片位置的影响
Hum Brain Mapp. 2006 Feb;27(2):99-113. doi: 10.1002/hbm.20161.
4
CRUISE: cortical reconstruction using implicit surface evolution.CRUISE:使用隐式曲面演化进行皮质重建。
Neuroimage. 2004 Nov;23(3):997-1012. doi: 10.1016/j.neuroimage.2004.06.043.
5
A meta-algorithm for brain extraction in MRI.一种用于磁共振成像(MRI)中脑提取的元算法。
Neuroimage. 2004 Oct;23(2):625-37. doi: 10.1016/j.neuroimage.2004.06.019.
6
Putting our heads together: a consensus approach to brain/non-brain segmentation in T1-weighted MR volumes.集思广益:T1加权磁共振图像中脑/非脑分割的共识方法
Neuroimage. 2004 Jul;22(3):1262-70. doi: 10.1016/j.neuroimage.2004.03.011.
7
A hybrid approach to the skull stripping problem in MRI.一种用于磁共振成像(MRI)中颅骨剥离问题的混合方法。
Neuroimage. 2004 Jul;22(3):1060-75. doi: 10.1016/j.neuroimage.2004.03.032.
8
The Cerefy Neuroradiology Atlas: a Talairach-Tournoux atlas-based tool for analysis of neuroimages available over the internet.Cerefy神经放射学图谱:一种基于Talairach-Tournoux图谱的工具,可通过互联网用于分析神经影像。
Neuroimage. 2003 Sep;20(1):50-7. doi: 10.1016/s1053-8119(03)00252-0.
9
HAMMER: hierarchical attribute matching mechanism for elastic registration.HAMMER:用于弹性配准的分层属性匹配机制
IEEE Trans Med Imaging. 2002 Nov;21(11):1421-39. doi: 10.1109/TMI.2002.803111.
10
Fast robust automated brain extraction.快速鲁棒的自动脑提取
Hum Brain Mapp. 2002 Nov;17(3):143-55. doi: 10.1002/hbm.10062.

MIPAV软件包的体积神经影像分析扩展

Volumetric neuroimage analysis extensions for the MIPAV software package.

作者信息

Bazin Pierre-Louis, Cuzzocreo Jennifer L, Yassa Michael A, Gandler William, McAuliffe Matthew J, Bassett Susan S, Pham Dzung L

机构信息

Laboratory of Medical Image Computing, Neuroradiology Division, Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD 21218, USA.

出版信息

J Neurosci Methods. 2007 Sep 15;165(1):111-21. doi: 10.1016/j.jneumeth.2007.05.024. Epub 2007 May 29.

DOI:10.1016/j.jneumeth.2007.05.024
PMID:17604116
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2017110/
Abstract

We describe a new collection of publicly available software tools for performing quantitative neuroimage analysis. The tools perform semi-automatic brain extraction, tissue classification, Talairach alignment, and atlas-based measurements within a user-friendly graphical environment. They are implemented as plug-ins for MIPAV, a freely available medical image processing software package from the National Institutes of Health. Because the plug-ins and MIPAV are implemented in Java, both can be utilized on nearly any operating system platform. In addition to the software plug-ins, we have also released a digital version of the Talairach atlas that can be used to perform regional volumetric analyses. Several studies are conducted applying the new tools to simulated and real neuroimaging data sets.

摘要

我们描述了一组新的公开可用软件工具,用于进行定量神经影像分析。这些工具在用户友好的图形环境中执行半自动脑提取、组织分类、Talairach配准和基于图谱的测量。它们被实现为MIPAV的插件,MIPAV是美国国立卫生研究院免费提供的医学图像处理软件包。由于插件和MIPAV是用Java实现的,两者几乎可以在任何操作系统平台上使用。除了软件插件,我们还发布了Talairach图谱的数字版本,可用于进行区域体积分析。我们进行了几项研究,将这些新工具应用于模拟和真实的神经影像数据集。