Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy

被引：8

作者：

Shoaib, Zeshan ^{[1
]}

Kamran, M. Ahmad ^{[1
]}

Mannan, M. M. N. ^{[1
]}

Jeong, Myung Yung ^{[1
]}

机构：

[1] Pusan Natl Univ, Dept Cognomechatron Engn, San 30 Jangjeon Dong Geumjeong Gu, Busan 609735, South Korea

来源：

BIOMEDICAL OPTICS EXPRESS | 2019年 / 10卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

DIFFUSE OPTICAL TOMOGRAPHY; SPATIAL-RESOLUTION; HEMODYNAMIC-RESPONSE; LIGHT-PROPAGATION; TEMPORAL ANALYSIS; SENSITIVITY; TISSUE; OXYGENATION; QUANTIFICATION; REGULARIZATION;

D O I：

10.1364/BOE.10.004684

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

In this study, 3-dimensional (3-D) enhanced brain-function-map generation and estimation methodology is presented. Optical signals were modelled in the form of numerical optimization problem to infer the best existing waveform of canonical hemodynamic response function. Inter-channel activity patterns were also estimated. The estimation of activation of inter-channel gap depends on the minimization of generalized cross-validation. 3-D brain activation maps were produced through inverse discrete cosine transform. The proposed algorithm acquired significant results for 3-D functional maps with high resolution, in comparison with that of 2-D functional t-maps. A comprehensive analysis by exhibiting images corresponding to several layers has also been appended. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

引用

页码：4684 / 4710

页数：27

共 76 条

[61] Hierarchical Bayesian estimation improves depth accuracy and spatial resolution of diffuse optical tomography [J].