Template images for nonhuman primate neuroimaging: 1. Baboon

被引:76
|
作者
Black, KJ [1 ]
Snyder, AZ
Koller, JM
Gado, MH
Perlmutter, JS
机构
[1] Washington Univ, Sch Med, Dept Psychiat, St Louis, MO USA
[2] Washington Univ, Sch Med, Dept Neurol & Neurol Surg, St Louis, MO 63110 USA
[3] Washington Univ, Sch Med, Dept Radiol, Mallinckrodt Inst Radiol, St Louis, MO 63110 USA
[4] Washington Univ, Sch Med, Dept Anat & Neurobiol, St Louis, MO 63110 USA
[5] Washington Univ, Sch Engn, St Louis, MO 63110 USA
关键词
D O I
10.1006/nimg.2001.0752
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Coregistration of functional brain images across many subjects offers several experimental advantages and is widely used for studies in humans. Voxel-based coregistration methods require a high-quality 3-D template image, preferably one that corresponds to a published atlas. Template images are available for human, but we could not find an appropriate template for neuroimaging studies in baboon. Here we describe the formation of a T1-weighted structural MR template image and a PET blood flow template, derived from 9 and 7 baboons, respectively. Custom software aligns individual MR images to the MRI template; human supervision is needed only to initially estimate any gross rotational misalignment. In these aligned individual images, internal subcortical fiducial points correspond closely to a photomicrographic baboon atlas with an average error of 1.53 mm. Cortical test points showed a mean error of 1.99 min compared to the mean location for each point. Alignment of individual PET blood flow images directly to the PET template was compared to a two-step alignment process via each subject's MR image. The two transformations were identical within 0.41 mm, 0.54 degrees, and 1.0% (translation, rotation, and linear stretch; mean). These quantities provide a check on the validity of the alignment software as well as of the template images. The baboon structural AIR and blood flow PET templates are available on the Internet (purl.org/net/kbmd/b2k) and can be used as targets for any image registration software. (C) 2001 Academic Press.
引用
收藏
页码:736 / 743
页数:8
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