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一种基于高密度平行板漫射光学层析成像的乳腺癌成像数据自校准方法。

A Data Self-Calibration Method Based on High-Density Parallel Plate Diffuse Optical Tomography for Breast Cancer Imaging.

作者信息

Wang Xin, Hu Rui, Wang Yirong, Yan Qiang, Wang Yihan, Kang Fei, Zhu Shouping

机构信息

School of Life Science and Technology, Xidian University, Xi'an, China.

Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, Xi'an, China.

出版信息

Front Oncol. 2021 Dec 21;11:786289. doi: 10.3389/fonc.2021.786289. eCollection 2021.

DOI:10.3389/fonc.2021.786289
PMID:34993144
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8724432/
Abstract

When performing the diffuse optical tomography (DOT) of the breast, the mismatch between the forward model and the experimental conditions will significantly hinder the reconstruction accuracy. Therefore, the reference measurement is commonly used to calibrate the measured data before the reconstruction. However, it is complicated to customize corresponding reference phantoms based on the breast shape and background optical parameters of different subjects in clinical trials. Furthermore, although high-density (HD) DOT configuration has been proven to improve imaging quality, a large number of source-detector (SD) pairs also increase the difficulty of multi-channel correction. To enhance the applicability of the breast DOT, a data self-calibration method based on an HD parallel-plate DOT system is proposed in this paper to replace the conventional relative measurement on a reference phantom. The reference predicted data can be constructed directly from the measurement data with the support of the HD-DOT system, which has nearly a hundred sets of measurements at each SD distance. The proposed scheme has been validated by Monte Carlo (MC) simulation, breast-size phantom experiments, and clinical trials, exhibiting the feasibility in ensuring the quality of the DOT reconstruction while effectively reducing the complexity associated with relative measurements on reference phantoms.

摘要

在进行乳腺扩散光学层析成像(DOT)时,正向模型与实验条件之间的不匹配会显著阻碍重建精度。因此,在重建之前,通常使用参考测量来校准测量数据。然而,在临床试验中,根据不同受试者的乳房形状和背景光学参数定制相应的参考体模很复杂。此外,尽管高密度(HD)DOT配置已被证明可提高成像质量,但大量的源探测器(SD)对也增加了多通道校正的难度。为提高乳腺DOT的适用性,本文提出一种基于HD平行板DOT系统的数据自校准方法,以取代在参考体模上进行的传统相对测量。在HD-DOT系统的支持下,参考预测数据可直接从测量数据构建,该系统在每个SD距离处有近百组测量值。所提方案已通过蒙特卡罗(MC)模拟、乳房尺寸体模实验和临床试验得到验证,显示出在确保DOT重建质量的同时有效降低与参考体模相对测量相关复杂性的可行性。

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本文引用的文献

1
Three-compartment-breast (3CB) prior-guided diffuse optical tomography based on dual-energy digital breast tomosynthesis (DBT).基于双能数字乳腺断层合成(DBT)的三室乳腺(3CB)先验引导的漫射光学断层扫描。
Biomed Opt Express. 2021 Jul 13;12(8):4837-4851. doi: 10.1364/BOE.431244. eCollection 2021 Aug 1.
2
Effect and correction of optode coupling errors in breast imaging using diffuse optical tomography.漫射光学层析成像在乳腺成像中光极耦合误差的影响及校正
Biomed Opt Express. 2021 Jan 4;12(2):689-704. doi: 10.1364/BOE.411595. eCollection 2021 Feb 1.
3
Nonlinear iterative perturbation scheme with simplified spherical harmonics (SP ) light propagation model for quantitative photoacoustic tomography.
用于定量光声断层成像的具有简化球谐函数(SP)光传播模型的非线性迭代微扰方案
J Biophotonics. 2021 Jun;14(6):e202000446. doi: 10.1002/jbio.202000446. Epub 2021 Feb 26.
4
A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging.一种用于最小约束三维功能神经成像的宽视野、模块化、高密度扩散光学层析成像系统。
Biomed Opt Express. 2020 Jul 9;11(8):4110-4129. doi: 10.1364/BOE.394914. eCollection 2020 Aug 1.
5
A review of optical breast imaging: Multi-modality systems for breast cancer diagnosis.光学乳腺成像综述:用于乳腺癌诊断的多模态系统。
Eur J Radiol. 2020 Aug;129:109067. doi: 10.1016/j.ejrad.2020.109067. Epub 2020 May 18.
6
High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution.基于频域测量的高密度功能扩散光学断层扫描可提高图像质量和空间分辨率。
Neurophotonics. 2019 Jul;6(3):035007. doi: 10.1117/1.NPh.6.3.035007. Epub 2019 Aug 21.
7
Reducing image artifact in diffuse optical tomography by iterative perturbation correction based on multiwavelength measurements.基于多波长测量的迭代微扰校正降低漫射光学断层成像中的图像伪影。
J Biomed Opt. 2019 May;24(5):1-8. doi: 10.1117/1.JBO.24.5.056005.
8
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography.自适应高斯加权拉普拉斯先验正则化实现荧光分子断层成像的精确形态重建。
IEEE Trans Med Imaging. 2019 Dec;38(12):2726-2734. doi: 10.1109/TMI.2019.2912222. Epub 2019 Apr 22.
9
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography.基于反向传播神经网络的漫射光学层析成像重建算法。
J Biomed Opt. 2018 Dec;24(5):1-12. doi: 10.1117/1.JBO.24.5.051407.
10
Direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon "replay".基于微扰蒙特卡罗光子“重放”法直接计算漫射光学层析成像的雅可比矩阵
Biomed Opt Express. 2018 Sep 4;9(10):4588-4603. doi: 10.1364/BOE.9.004588. eCollection 2018 Oct 1.