• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Two step imaging reconstruction using truncated pseudoinverse as a preliminary estimate in ultrasound guided diffuse optical tomography.在超声引导下的扩散光学断层扫描中,使用截断伪逆作为初步估计的两步成像重建。
Biomed Opt Express. 2017 Nov 8;8(12):5437-5449. doi: 10.1364/BOE.8.005437. eCollection 2017 Dec 1.
2
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.
3
Optimizing the regularization for image reconstruction of cerebral diffuse optical tomography.优化脑扩散光学断层扫描图像重建的正则化方法。
J Biomed Opt. 2014 Sep;19(9):96006. doi: 10.1117/1.JBO.19.9.096006.
4
Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization.利用玻恩迭代法和超声引导稀疏正则化改进DOT重建。
Biomed Opt Express. 2019 Apr 22;10(5):2528-2541. doi: 10.1364/BOE.10.002528. eCollection 2019 May 1.
5
Diffuse optical tomography using semiautomated coregistered ultrasound measurements.使用半自动配准超声测量的漫射光学断层成像。
J Biomed Opt. 2017 Dec;22(12):1-12. doi: 10.1117/1.JBO.22.12.121610.
6
Data-specific mask-guided image reconstruction for diffuse optical tomography.用于漫射光学层析成像的特定数据掩码引导图像重建
Appl Opt. 2020 Oct 20;59(30):9328-9339. doi: 10.1364/AO.401132.
7
Comparison of source localization techniques in diffuse optical tomography for fNIRS application using a realistic head model.使用逼真头部模型的功能近红外光谱应用中扩散光学层析成像源定位技术的比较
Biomed Opt Express. 2018 Jun 7;9(7):2994-3016. doi: 10.1364/BOE.9.002994. eCollection 2018 Jul 1.
8
Statistical image-domain multimaterial decomposition for dual-energy CT.双能CT的统计图像域多物质分解
Med Phys. 2017 Mar;44(3):886-901. doi: 10.1002/mp.12096. Epub 2017 Feb 21.
9
Impact of errors in experimental parameters on reconstructed breast images using diffuse optical tomography.实验参数误差对使用漫射光学层析成像重建的乳腺图像的影响。
Biomed Opt Express. 2018 Feb 13;9(3):1130-1150. doi: 10.1364/BOE.9.001130. eCollection 2018 Mar 1.
10
Weight-matrix structured regularization provides optimal generalized least-squares estimate in diffuse optical tomography.权重矩阵结构正则化在扩散光学层析成像中提供了最优广义最小二乘估计。
Med Phys. 2007 Jun;34(6):2085-98. doi: 10.1118/1.2733803.

引用本文的文献

1
DOT-AE-GAN: a hybrid autoencoder-GAN model for enhanced ultrasound-guided diffuse optical tomography reconstruction.DOT-AE-GAN:一种用于增强超声引导下扩散光学断层扫描重建的混合自动编码器-生成对抗网络模型。
J Biomed Opt. 2025 Jul;30(7):076003. doi: 10.1117/1.JBO.30.7.076003. Epub 2025 Jul 3.
2
Automated pipeline for breast cancer diagnosis using US assisted diffuse optical tomography.使用超声辅助漫射光学层析成像的乳腺癌诊断自动化流程
Biomed Opt Express. 2023 Nov 1;14(11):6072-6087. doi: 10.1364/BOE.502244.
3
Fast ICCD-based temperature modulated fluorescence tomography.基于快速ICCD的温度调制荧光断层扫描。
Appl Opt. 2023 Oct 1;62(28):7420-7430. doi: 10.1364/AO.499281.
4
Two-stage classification strategy for breast cancer diagnosis using ultrasound-guided diffuse optical tomography and deep learning.基于超声引导漫射光学层析成像和深度学习的乳腺癌两阶段分类策略。
J Biomed Opt. 2023 Aug;28(8):086002. doi: 10.1117/1.JBO.28.8.086002. Epub 2023 Aug 26.
5
Regression-based neural network for improving image reconstruction in diffuse optical tomography.基于回归的神经网络用于改善漫射光学层析成像中的图像重建
Biomed Opt Express. 2022 Mar 11;13(4):2006-2017. doi: 10.1364/BOE.449448. eCollection 2022 Apr 1.
6
Prospective assessment of adjunctive ultrasound-guided diffuse optical tomography in women undergoing breast biopsy: Impact on BI-RADS assessments.前瞻性评估超声引导漫射光学断层成像在接受乳腺活检的女性中的作用:对 BI-RADS 评估的影响。
Eur J Radiol. 2021 Dec;145:110029. doi: 10.1016/j.ejrad.2021.110029. Epub 2021 Nov 13.
7
Early Assessment Window for Predicting Breast Cancer Neoadjuvant Therapy using Biomarkers, Ultrasound, and Diffuse Optical Tomography.使用生物标志物、超声和漫射光学断层成像技术预测乳腺癌新辅助治疗的早期评估窗口。
Breast Cancer Res Treat. 2021 Aug;188(3):615-630. doi: 10.1007/s10549-021-06239-y. Epub 2021 May 10.
8
Target depth-regularized reconstruction in diffuse optical tomography using ultrasound segmentation as prior information.利用超声分割作为先验信息的扩散光学层析成像中的目标深度正则化重建。
Biomed Opt Express. 2020 May 28;11(6):3331-3345. doi: 10.1364/BOE.388816. eCollection 2020 Jun 1.
9
Optimal breast cancer diagnostic strategy using combined ultrasound and diffuse optical tomography.使用超声与扩散光学断层扫描相结合的最佳乳腺癌诊断策略。
Biomed Opt Express. 2020 Apr 24;11(5):2722-2737. doi: 10.1364/BOE.389275. eCollection 2020 May 1.
10
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.

本文引用的文献

1
Improving breast cancer diagnosis by reducing chest wall effect in diffuse optical tomography.通过减少漫射光学断层成像中的胸壁效应来提高乳腺癌诊断水平。
J Biomed Opt. 2017 Mar 1;22(3):36004. doi: 10.1117/1.JBO.22.3.036004.
2
Diffuse optical tomography reconstruction method using ultrasound images as prior for regularization matrix.基于超声图像的正则化矩阵先验的扩散光学断层成像重建方法。
J Biomed Opt. 2017 Feb 1;22(2):26002. doi: 10.1117/1.JBO.22.2.026002.
3
Automated data selection method to improve robustness of diffuse optical tomography for breast cancer imaging.用于提高乳腺癌成像的扩散光学层析成像稳健性的自动数据选择方法。
Biomed Opt Express. 2016 Sep 14;7(10):4007-4020. doi: 10.1364/BOE.7.004007. eCollection 2016 Oct 1.
4
Assessment of Functional Differences in Malignant and Benign Breast Lesions and Improvement of Diagnostic Accuracy by Using US-guided Diffuse Optical Tomography in Conjunction with Conventional US.利用超声引导下的扩散光学断层扫描结合传统超声评估乳腺良恶性病变的功能差异并提高诊断准确性
Radiology. 2016 Aug;280(2):387-97. doi: 10.1148/radiol.2016151097. Epub 2016 Mar 2.
5
Direct regularization from co-registered anatomical images for MRI-guided near-infrared spectral tomographic image reconstruction.用于MRI引导的近红外光谱断层图像重建的、来自配准解剖图像的直接正则化
Biomed Opt Express. 2015 Aug 27;6(9):3618-30. doi: 10.1364/BOE.6.003618. eCollection 2015 Sep 1.
6
Ultrasound-Guided Diffuse Optical Tomography for Predicting and Monitoring Neoadjuvant Chemotherapy of Breast Cancers: Recent Progress.超声引导下的漫射光学断层扫描在预测和监测乳腺癌新辅助化疗中的应用:最新进展
Ultrason Imaging. 2016 Jan;38(1):5-18. doi: 10.1177/0161734615580280. Epub 2015 Apr 16.
7
Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance.MRI引导的近红外光谱临床乳腺检查数据的敏感性及其对诊断性能的影响。
Biomed Opt Express. 2014 Aug 22;5(9):3103-15. doi: 10.1364/BOE.5.003103. eCollection 2014 Sep 1.
8
Optical imaging of tumor vascularity associated with proliferation and glucose metabolism in early breast cancer: clinical application of total hemoglobin measurements in the breast.早期乳腺癌中与增殖和葡萄糖代谢相关的肿瘤血管光学成像:乳腺全血红蛋白测量的临床应用
BMC Cancer. 2013 Oct 31;13:514. doi: 10.1186/1471-2407-13-514.
9
Two-step reconstruction method using global optimization and conjugate gradient for ultrasound-guided diffuse optical tomography.两步重建法使用全局优化和共轭梯度法进行超声引导的漫射光学层析成像。
J Biomed Opt. 2013 Jan;18(1):16006. doi: 10.1117/1.JBO.18.1.016006.
10
A digital x-ray tomosynthesis coupled near infrared spectral tomography system for dual-modality breast imaging.一种用于双模态乳腺成像的数字X射线断层合成与近红外光谱断层成像耦合系统。
Opt Express. 2012 Aug 13;20(17):19125-36. doi: 10.1364/OE.20.019125.

在超声引导下的扩散光学断层扫描中,使用截断伪逆作为初步估计的两步成像重建。

Two step imaging reconstruction using truncated pseudoinverse as a preliminary estimate in ultrasound guided diffuse optical tomography.

作者信息

Uddin K M Shihab, Mostafa Atahar, Anastasio Mark, Zhu Quing

机构信息

Biomedical Engineering Department, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA.

出版信息

Biomed Opt Express. 2017 Nov 8;8(12):5437-5449. doi: 10.1364/BOE.8.005437. eCollection 2017 Dec 1.

DOI:10.1364/BOE.8.005437
PMID:29296479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5745094/
Abstract

Due to the correlated nature of diffused light, the problem of reconstructing optical properties using diffuse optical tomography (DOT) is ill-posed. US-, MRI- or x-ray-guided DOT approaches can reduce the total number of parameters to be estimated and improve optical reconstruction accuracy. However, when the target volume is large, the number of parameters to estimate can exceed the number of measurements, resulting in an underdetermined imaging model. In such cases, accurate image reconstruction is difficult and regularization methods should be employed to obtain a useful solution. In this manuscript, a simple two-step reconstruction method that can produce useful image estimates in DOT is proposed and investigated. In the first step, a truncated Moore-Penrose Pseudoinverse solution is computed to obtain a preliminary estimate of the image that can be reliably determined from the measured data; subsequently, this preliminary estimate is incorporated into the design of a penalized least squares estimator that is employed to compute the final image estimate. By use of phantom data, the proposed method was demonstrated to yield more accurate images than those produced by conventional reconstruction methods. The method was also evaluated with clinical data that included 10 benign and 10 malignant cases. The capability of reconstructing high contrast malignant lesions was demonstrated to be improved by use of the proposed method.

摘要

由于漫射光的相关性,利用扩散光学断层扫描(DOT)重建光学特性的问题是不适定的。超声、磁共振成像或X射线引导的DOT方法可以减少待估计参数的总数并提高光学重建精度。然而,当目标体积较大时,待估计的参数数量可能会超过测量数量,导致成像模型欠定。在这种情况下,准确的图像重建很困难,应采用正则化方法来获得有用的解。在本论文中,提出并研究了一种简单的两步重建方法,该方法可以在DOT中产生有用的图像估计。第一步,计算截断的摩尔-彭罗斯伪逆解,以获得可以从测量数据可靠确定的图像初步估计;随后,将该初步估计纳入惩罚最小二乘估计器的设计中,用于计算最终的图像估计。通过使用体模数据,证明所提出的方法比传统重建方法产生的图像更准确。该方法还使用包括10例良性和10例恶性病例的临床数据进行了评估。结果表明,使用所提出的方法可以提高重建高对比度恶性病变的能力。