Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy.
Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy.
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DOI：
10.1117/1.nph.10.2.025007
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发表时间：
2023-04
期刊：
影响因子：
5.3
通讯作者：
中科院分区：
文献类型：
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作者：
短分离（SS）回归和扩散光学断层扫描（DOT）图像重建，两个广泛采用的方法在功能近红外光谱（fNIRS），被证明是单独促进大脑激活和生理信号的分离，进一步改善使用这两个顺序。我们假设同时做这两件事会进一步提高性能。这两种方法的成功的动机，我们提出了一种方法，SS-DOT，同时适用于SS和DOT。该方法，它采用空间和时间的基函数来表示血红蛋白浓度的变化，使我们能够将SS回归到时间序列DOT模型。为了对SS-DOT模型与传统序列模型的性能进行基准测试，我们使用了合成脑反应增强的fNIRS静息状态数据以及在挤压球任务期间获得的数据。传统的序贯模型包括进行SS回归和DOT。结果表明，SS-DOT模型通过将对比度与背景比提高三倍来提高图像质量。在小的大脑激活中，好处是微不足道的。SS-DOT模型提高了fNIRS图像重建质量。
Short-separation (SS) regression and diffuse optical tomography (DOT) image reconstruction, two widely adopted methods in functional near-infrared spectroscopy (fNIRS), were demonstrated to individually facilitate the separation of brain activation and physiological signals, with further improvement using both sequentially. We hypothesized that doing both simultaneously would further improve the performance. Motivated by the success of these two approaches, we propose a method, SS-DOT, which applies SS and DOT simultaneously. The method, which employs spatial and temporal basis functions to represent the hemoglobin concentration changes, enables us to incorporate SS regressors into the time series DOT model. To benchmark the performance of the SS-DOT model against conventional sequential models, we use fNIRS resting state data augmented with synthetic brain response as well as data acquired during a ball squeezing task. The conventional sequential models comprise performing SS regression and DOT. The results show that the SS-DOT model improves the image quality by increasing the contrast-to-background ratio by a threefold improvement. The benefits are marginal at small brain activation. The SS-DOT model improves the fNIRS image reconstruction quality.
影响因子：
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作者：
Patel, Sundeep;Katura, Takusige;Maki, Atsushi;Tachtsidis, Ilias
通讯作者：
Tachtsidis, Ilias