Diffeomorphic brain mapping based on T1-weighted images: improvement of registration accuracy by multichannel mapping.
Diffeomorphic brain mapping based on T1-weighted images: improvement of registration accuracy by multichannel mapping.
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DOI：
10.1002/jmri.23790
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发表时间：
2013-01
期刊：
影响因子：
--
通讯作者：
Mori S
中科院分区：
文献类型：
--
作者：
Djamanakova A;Faria AV;Hsu J;Ceritoglu C;Oishi K;Miller MI;Hillis AE;Mori S
以提高神经退行性疾病人群中图像配准的准确性。这项研究使用了原发性进行性失语症、老年对照组和青年对照组T1加权图像。使用单通道大变形微分度量映射(LDDMM)和双通道W/附件方法执行到模板图像的映射，单通道大变形微分度量映射(LDDMM)是在第二通道中具有心室解剖的双通道方法，双通道W/附件方法利用了可变形图谱中的模板心室解剖的先验知识。我们的结果表明，与基于单对比的脑图相比，配准精度有了实质性的提高，主要是在侧脑室及其周围区域。与单通道标测相比，双通道标测显著减少了错误分类的侧脑室体素的数量(基于手动定义的参考)(p<；0.001)。与双通道法相比，双通道(w/附件)法进一步减少了(p<；0.001)错误分类，表明附件为变形提供了更准确的解剖对应。形状归一化脑解剖图被广泛应用于定量解剖分析。然而，在许多老年性和神经退行性疾病中，严重的组织萎缩对准确绘制体素图构成了独特的挑战，特别是在侧脑室周围。在这篇文章中，我们展示了我们有能力通过在LDDMM中结合脑室解剖以及在可变形图谱中利用脑室解剖的先验知识来提高标测精度。
To improve image registration accuracy in neurodegenerative populations. This study used primary progressive aphasia, aged control, and young control T1-weighted images. Mapping to a template image was performed using single-channel Large Deformation Diffeomorphic Metric Mapping (LDDMM), a dual-channel method with ventricular anatomy in the second channel, and a dual-channel w/appendage method, which utilized a priori knowledge of template ventricular anatomy in the deformable atlas. Our results indicated substantial improvement in the registration accuracy over single-contrast-based brain mapping, mainly in the lateral ventricles and regions surrounding them. Dual-channel mapping significantly (p<0.001) reduced the number of misclassified lateral ventricle voxels (based on manually-defined reference) over single-channel mapping. Dual-channel (w/appendage) method further reduced (p<0.001) misclassification over dual-channel method, indicating that the appendage provides more accurate anatomical correspondence for deformation. Brain anatomical mapping by shape normalization is widely used for quantitative anatomical analysis. However, in many geriatric and neurodegenerative disorders, severe tissue atrophy poses a unique challenge for accurate mapping of voxels, especially around the lateral ventricles. In this paper, we demonstrate our ability to improve mapping accuracy by incorporating ventricular anatomy in LDDMM and by utilizing a priori knowledge of ventricular anatomy in the deformable atlas.
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影响因子：
5.7
作者：
Park, HJ;Kubicki, M;Westin, CF
通讯作者：
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DOI：
10.1023/b:visi.0000043755.93987.aa
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