On matching brain volumes

On matching brain volumes
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DOI:
10.1016/s0031-3203(98)00093-4
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发表时间:
1999-01-01
影响因子:
8
通讯作者:
Gee, JC
Gee, JC
中科院分区:
计算机科学1区
文献类型:
--
作者:
Gee, JC

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为了表征人类神经解剖学中自然发生的复杂形态变化,以便可以在医学图像中识别大脑结构时将它们的混杂作用最小解剖学,称为地图集。为了实现这一框架,发明了弹性匹配的方法,用于确定三维图像对之间的空间映射,其中一个图像体积被建模为弹性连续体,该弹性连续体变形以匹配第二卷的外观。在本文中,我们回顾了弹性匹配技术的基础的开创性思想,请考虑该方法不可或缺的形成的实际含义,并探索对该方法的更一般的贝叶斯解释,以解决在连续性中不太自然解决的问题机械设置,例如检查解决方案的可靠性或可能可获得有关空间映射的经验信息的纳入分析。 (c)1999年模式识别社会。由Elsevier Science Ltd.出版。保留所有权利。
To characterize the complex morphological variations that occur naturally in human neuroanatomy so that their confounding effect can be minimized in the identification of brain structures in medical images, a computational framework has evolved in which individual anatomies are modeled as warped versions of a canonical representation of the anatomy, known as an atlas. To realize this framework, the method of elastic matching was invented for determining the spatial mapping between a three-dimensional image pair in which one image volume is modeled as an elastic continuum that is deformed to match the appearance of the second volume. In this paper, we review the seminal ideas underlying the elastic matching technique, consider the practical implications of an integral formation of the approach, and explore a more general Bayesian interpretation of the method in order to address issues that are less naturally resolved within a continuum mechanical setting, such as the examination of a solution's reliability or the incorporation of empirical information that may be available about the spatial mappings into the analysis. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.