Quantitative evaluation of atlas-based high-density diffuse optical tomography for imaging of the human visual cortex.
Quantitative evaluation of atlas-based high-density diffuse optical tomography for imaging of the human visual cortex.
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DOI：
10.1364/boe.5.003882
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发表时间：
2014-11
影响因子：
3.4
通讯作者：
Xue Wu;A. Eggebrecht;S. Ferradal;J. Culver;H. Dehghani
中科院分区：
文献类型：
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作者：
Xue Wu;A. Eggebrecht;S. Ferradal;J. Culver;H. Dehghani
在人脑的扩散光学层析成像（DOT）中的图像恢复通常依赖于头部内的光传播的精确模型。在缺乏用于图像重建的受试者特定模型的情况下，使用基于图谱的模型显示出强大的前景。虽然在DOT中使用一些有限的刚性模型配准方面存在一些理解，但缺乏对几何精度误差、组织中的光传播误差和脑中恢复的局灶性激活的动态成像中的后续误差之间的详细分析。在这项工作中，11个不同的刚性配准算法，在24个模拟的主题，DOT研究在视觉皮层进行评估。虽然几何表面误差和内部光传播误差之间存在很强的相关性（R（2）= 0.97），但是当分析视觉皮层中恢复的局灶性激活时，总体变化是最小的。虽然受试者特定的网格给出了最好的结果与1.2毫米的平均位置误差，没有一个算法提供的误差大于4.5毫米。这项工作表明，使用刚性算法的图谱为基础的成像是一个很有前途的路线时，受试者特定的模型不可用。
Image recovery in diffuse optical tomography (DOT) of the human brain often relies on accurate models of light propagation within the head. In the absence of subject specific models for image reconstruction, the use of atlas based models are showing strong promise. Although there exists some understanding in the use of some limited rigid model registrations in DOT, there has been a lack of a detailed analysis between errors in geometrical accuracy, light propagation in tissue and subsequent errors in dynamic imaging of recovered focal activations in the brain. In this work 11 different rigid registration algorithms, across 24 simulated subjects, are evaluated for DOT studies in the visual cortex. Although there exists a strong correlation (R(2) = 0.97) between geometrical surface error and internal light propagation errors, the overall variation is minimal when analysing recovered focal activations in the visual cortex. While a subject specific mesh gives the best results with a 1.2 mm average location error, no single algorithm provides errors greater than 4.5 mm. This work demonstrates that the use of rigid algorithms for atlas based imaging is a promising route when subject specific models are not available.