Computing average shaped tissue probability templates

被引：195

作者：

Ashburner, John ^{[1
]}

Friston, Karl J. ^{[1
]}

机构：

[1] Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England

来源：

NEUROIMAGE | 2009年 / 45卷 / 02期

基金：

英国惠康基金;

关键词：

REGISTRATION; CLASSIFICATION; FRAMEWORK; MODELS;

D O I：

10.1016/j.neuroimage.2008.12.008

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

This note presents a framework for generating tissue probability maps that represent the average shape of a number of subjects' brain images. The procedure is formulated as finding maximum a posteriori estimates within a probabilistic generative model. Estimating the parameters involves alternating between estimating the deformations that match tissue class images of individual subjects to template, and updating the template according to the latest estimates of the deformations. A multinomial matching criterion is used, such that multiple tissue class images (e. g. grey and white matter) are registered simultaneously with the current template estimate. In order to generalise the resulting template to a broader range of subjects, a template blurriness prior is included within the model. (c) 2008 Elsevier Inc. All rights reserved.

引用

页码：333 / 341

页数：9

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