具有增强深度定位和最小表面伪影的高密度扩散相关断层扫描
High-density diffuse correlation tomography with enhanced depth localization and minimal surface artefacts.
作者信息
Paul Ria, Murali K, Varma Hari M
机构信息
Indian Institute of Technology Bombay (IITB), Mumbai-400076, India.
出版信息
Biomed Opt Express. 2022 Oct 28;13(11):6081-6099. doi: 10.1364/BOE.469405. eCollection 2022 Nov 1.
Abstract
A spatially weighted filter applied to both the measurement and the Jacobian is proposed for high-density diffuse correlation tomography (DCT) to remove unwanted extracerebral interferences and artefacts along with better depth localization in the reconstructed blood flow images. High-density DCT is implemented by appropriate modification of recently introduced Multi-speckle Diffuse Correlation Spectroscopy (M-DCS) system. Additionally, we have used autocorrelation measurements at multiple delay-times in an iterative manner to improve the reconstruction results. The proposed scheme has been validated by simulations, phantom experiments and human experiments.
摘要
针对高密度扩散相关断层扫描（DCT），提出了一种应用于测量值和雅可比矩阵的空间加权滤波器，以去除不必要的脑外干扰和伪影，并在重建的血流图像中实现更好的深度定位。通过对最近引入的多散斑扩散相关光谱（M-DCS）系统进行适当修改来实现高密度DCT。此外，我们还以迭代方式在多个延迟时间进行自相关测量，以改善重建结果。所提出的方案已通过模拟、体模实验和人体实验得到验证。
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