Group-wise cortical correspondence via sulcal curve-constrained entropy minimization.

Group-wise cortical correspondence via sulcal curve-constrained entropy minimization.
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通过脑沟曲线约束熵最小化进行分组皮质对应。

DOI:
10.1007/978-3-642-38868-2_31
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发表时间:
2013
期刊:
Information processing in medical imaging : proceedings of the ... conference
影响因子:
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通讯作者:
Styner,MartinA
Styner,MartinA
中科院分区:
--
文献类型:
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作者:
Lyu,Ilwoo;Kim,SunHyung;Seong,Joon-Kyung;Yoo,SangWook;Evans,AlanC;Shi,Yundi;Sanchez,Mar;Niethammer,Marc;Styner,MartinA

文献摘要

相似文献

我们提出了一种新的皮质对应方法,该方法在球面参数化空间中采用分组配准,用于人类和非人类灵长类神经成像研究中的局部皮质厚度分析。该方法是一种无偏配准方法,利用球面变形场的球谐分解,通过凹槽曲线约束的熵最小化,将连续的光滑变形场估计到无偏的平均空间。我们通过我们的成对方法来初始化对应,该方法建立与先前模板的表面对应。由于这种成对对应关系偏向于模板的选择,我们通过在所有表面上采用无偏系综熵最小化来进一步改进对应关系,这将在迭代更新的无偏平均上产生变形场。该比熵度量包含两个项:第一项侧重于优化自动提取的脑沟地标之间的对应关系,第二项关注于脑沟深度图的对应关系。我们还提出了一种基于球谐函数的球面变形编码方案,以及一种选择最佳球极坐标系以实现最有效的变形场估计的新方法。实验结果表明,与成对方法相比,该方法提高了非人类灵长类和人类被试的对应质量。
We present a novel cortical correspondence method employing group-wise registration in a spherical parametrization space for the use in local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is unbiased registration that estimates a continuous smooth deformation field into an unbiased average space via sulcal curve-constrained entropy minimization using spherical harmonic decomposition of the spherical deformation field. We initialize a correspondence by our pair-wise method that establishes a surface correspondence with a prior template. Since this pair-wise correspondence is biased to the choice of a template, we further improve the correspondence by employing unbiased ensemble entropy minimization across all surfaces, which yields a deformation field onto the iteratively updated unbiased average. The specific entropy metric incorporates two terms: the first focused on optimizing the correspondence of automatically extracted sulcal landmarks and the second on that of sulcal depth maps. We also propose an encoding scheme for spherical deformation via spherical harmonics as well as a novel method to choose an optimal spherical polar coordinate system for the most efficient deformation field estimation. The experimental results show evidence that the proposed method improves the correspondence quality in non-human primate and human subjects as compared to the pair-wise method.