Diffeomorphic registration for retinotopic maps of multiple visual regions.
Diffeomorphic registration for retinotopic maps of multiple visual regions.
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DOI：
10.1007/s00429-022-02480-3
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发表时间：
2022-05
影响因子：
3.1
通讯作者：
Wang, Yalin
中科院分区：
文献类型：
--
作者：
Tu, Yanshuai;Li, Xin;Zhong-Lin Lu;Wang, Yalin
视网膜定位图，即视网膜上的视觉输入与皮质表面神经元反应之间的映射，是视觉科学的中心课题之一。通常，人类视网膜定位图是通过分析大脑皮质表面对设计的视觉刺激的功能性磁共振反应来构建的。虽然它在视觉神经科学中得到了广泛的应用，但功能磁共振成像的信噪比和空间分辨率限制了视网膜定位图的应用。改善视网膜定位图质量的一种有希望的方法是将个体受试者的视网膜定位图与视网膜定位模板配准。然而，现有的视网膜原位配准方法都没有明确地量化微分同胚条件，即在不撕裂皮质表面的情况下，通过拉伸/压缩来对准视网膜原位地图。在这里，我们发展了视网膜定位图的微分配准算法(DRRM)，在不同形态条件下同时对齐多个视觉区域的视网膜定位图。具体地说，我们使用Beltrami系数来模拟微分同胚条件，并基于视网膜坐标进行表面配准。整体框架保留模板中定义的拓扑条件。我们进一步开发了一种独特的评估协议，并将新方法与现有的几种配准方法在合成数据集和真实数据集上的性能进行了比较。结果表明，在3T和7T磁共振成像系统的合成数据和经验数据上，DRRM方法在实现微分同胚配准方面优于现有方法。DRRM可以改善对低质量视网膜定位图的解释，并促进视网膜定位图在临床环境中的应用。
Retinotopic map, the mapping between visual inputs on the retina and neuronal responses on the cortical surface, is one of the central topics in vision science. Typically, human retinotopic maps are constructed by analyzing functional magnetic resonance responses to designed visual stimuli on the cortical surface. Although it is widely used in visual neuroscience, retinotopic maps are limited by the signal-to-noise ratio and spatial resolution of fMRI. One promising approach to improve the quality of retinotopic maps is to register individual subject’s retinotopic maps to a retinotopic template. However, none of the existing retinotopic registration methods has explicitly quantified the diffeomorphic condition, that is, retinotopic maps shall be aligned by stretching/compressing without tearing up the cortical surface. Here, we developed Diffeomorphic Registration for Retinotopic Maps (DRRM) to simultaneously align retinotopic maps in multiple visual regions under the diffeomorphic condition. Specifically, we used the Beltrami coefficient to model the diffeomorphic condition and performed surface registration based on retinotopic coordinates. The overall framework preserves the topological condition defined in the template. We further developed a unique evaluation protocol and compared the performance of the new method with several existing registration methods on both synthetic and real datasets. The results showed that DRRM is superior to the existing methods in achieving diffeomorphic registration in synthetic and empirical data from 3T and 7T MRI systems. DRRM may improve the interpretation of low-quality retinotopic maps and facilitate applications of retinotopic maps in clinical settings.
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DOI：
10.1523/jneurosci.2180-11.2011
发表时间：
2011-08-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Glasser MF;Van Essen DC
通讯作者：
Van Essen DC
影响因子：
5.7
作者：
Robinson EC;Garcia K;Glasser MF;Chen Z;Coalson TS;Makropoulos A;Bozek J;Wright R;Schuh A;Webster M;Hutter J;Price A;Cordero Grande L;Hughes E;Tusor N;Bayly PV;Van Essen DC;Smith SM;Edwards AD;Hajnal J;Jenkinson M;Glocker B;Rueckert D
通讯作者：
Rueckert D
影响因子：
2.5
作者：
Kay, Kendrick N.;Winawer, Jonathan;Wandell, Brian A.
通讯作者：
Wandell, Brian A.
影响因子：
4.3
作者：
Benson NC;Butt OH;Brainard DH;Aguirre GK
通讯作者：
Aguirre GK
影响因子：
3.4
作者：
Li, Xingfeng;Dumoulin, Serge O.;Hess, Robert F.
通讯作者：
Hess, Robert F.