• 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

光声血氧定量法实现了光谱去色。

Learned spectral decoloring enables photoacoustic oximetry.

机构信息

Computer Assisted Medical Interventions, German Cancer Research Center, Heidelberg, Germany.

Medical Faculty, Heidelberg University, Heidelberg, Germany.

出版信息

Sci Rep. 2021 Mar 22;11(1):6565. doi: 10.1038/s41598-021-83405-8.

DOI:10.1038/s41598-021-83405-8
PMID:33753769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7985523/
Abstract

The ability of photoacoustic imaging to measure functional tissue properties, such as blood oxygenation sO[Formula: see text], enables a wide variety of possible applications. sO[Formula: see text] can be computed from the ratio of oxyhemoglobin HbO[Formula: see text] and deoxyhemoglobin Hb, which can be distuinguished by multispectral photoacoustic imaging due to their distinct wavelength-dependent absorption. However, current methods for estimating sO[Formula: see text] yield inaccurate results in realistic settings, due to the unknown and wavelength-dependent influence of the light fluence on the signal. In this work, we propose learned spectral decoloring to enable blood oxygenation measurements to be inferred from multispectral photoacoustic imaging. The method computes sO[Formula: see text] pixel-wise, directly from initial pressure spectra [Formula: see text], which represent initial pressure values at a fixed spatial location [Formula: see text] over all recorded wavelengths [Formula: see text]. The method is compared to linear unmixing approaches, as well as pO[Formula: see text] and blood gas analysis reference measurements. Experimental results suggest that the proposed method is able to obtain sO[Formula: see text] estimates from multispectral photoacoustic measurements in silico, in vitro, and in vivo.

摘要

光声成像是一种能够测量血氧饱和度 sO[Formula: see text]等功能组织特性的技术,这使得它在很多领域都有广泛的应用。sO[Formula: see text]可以通过血红蛋白 HbO[Formula: see text]和脱氧血红蛋白 Hb 的比例来计算,由于它们在不同波长下的吸收特性不同,多光谱光声成像可以区分这两种物质。然而,由于光在信号中的未知和波长依赖性影响,目前用于估计 sO[Formula: see text]的方法在实际环境中会产生不准确的结果。在这项工作中,我们提出了基于学习的光谱去色,以便能够从多光谱光声成像中推断出血氧饱和度的测量值。该方法直接从初始压力光谱 [Formula: see text]计算 sO[Formula: see text],[Formula: see text]表示在所有记录的波长 [Formula: see text]下固定空间位置 [Formula: see text]处的初始压力值。该方法与线性解混方法以及 pO[Formula: see text]和血气分析参考测量值进行了比较。实验结果表明,该方法能够从多光谱光声测量中获得 sO[Formula: see text]的估计值,无论是在计算机模拟、体外实验还是体内实验中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/7c5228abe564/41598_2021_83405_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/c78a2d15b620/41598_2021_83405_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/53a191311513/41598_2021_83405_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/a4ba754c42aa/41598_2021_83405_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/50cc796be161/41598_2021_83405_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/0de6e8df1287/41598_2021_83405_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/087e24973a27/41598_2021_83405_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/342c21bf992a/41598_2021_83405_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/999f7f36e7ea/41598_2021_83405_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/7c5228abe564/41598_2021_83405_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/c78a2d15b620/41598_2021_83405_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/53a191311513/41598_2021_83405_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/a4ba754c42aa/41598_2021_83405_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/50cc796be161/41598_2021_83405_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/0de6e8df1287/41598_2021_83405_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/087e24973a27/41598_2021_83405_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/342c21bf992a/41598_2021_83405_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/999f7f36e7ea/41598_2021_83405_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee87/7985523/7c5228abe564/41598_2021_83405_Fig9_HTML.jpg

相似文献

1
Learned spectral decoloring enables photoacoustic oximetry.光声血氧定量法实现了光谱去色。
Sci Rep. 2021 Mar 22;11(1):6565. doi: 10.1038/s41598-021-83405-8.
2
Estimating blood oxygenation from photoacoustic images: can a simple linear spectroscopic inversion ever work?从光声图像估计血氧饱和度:简单的线性光谱反演可行吗?
J Biomed Opt. 2019 Dec;24(12):1-13. doi: 10.1117/1.JBO.24.12.121914.
3
Photoplethysmography for blood volumes and oxygenation changes during intermittent vascular occlusions.用于间歇性血管阻塞期间血容量和氧合变化的光电容积脉搏波描记法。
J Clin Monit Comput. 2018 Jun;32(3):447-455. doi: 10.1007/s10877-017-0030-2. Epub 2017 May 25.
4
Preoperative measurement of cutaneous melanoma and nevi thickness with photoacoustic imaging.利用光声成像对皮肤黑色素瘤和痣厚度进行术前测量。
J Med Imaging (Bellingham). 2018 Jan;5(1):015004. doi: 10.1117/1.JMI.5.1.015004. Epub 2018 Feb 13.
5
Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry.分布信息和波长灵活的数据驱动光声血氧测定法。
J Biomed Opt. 2024 Jun;29(Suppl 3):S33303. doi: 10.1117/1.JBO.29.S3.S33303. Epub 2024 Jun 5.
6
Early detection of dental fluorosis using Raman spectroscopy and principal component analysis.利用拉曼光谱和主成分分析早期检测氟斑牙
Lasers Med Sci. 2015 Aug;30(6):1675-81. doi: 10.1007/s10103-014-1638-9. Epub 2014 Aug 14.
7
Oxygen saturation-dependent effects on blood transverse relaxation at low fields.低场下血氧饱和度依赖的血液横向弛豫效应
MAGMA. 2022 Oct;35(5):805-815. doi: 10.1007/s10334-021-00993-2. Epub 2022 Feb 2.
8
Fluence-matching technique using photoacoustic radiofrequency spectra for improving estimates of oxygen saturation.利用光声射频光谱的通量匹配技术来改善氧饱和度估计值。
Photoacoustics. 2020 May 24;19:100182. doi: 10.1016/j.pacs.2020.100182. eCollection 2020 Sep.
9
Optimization of beam quality for photon-counting spectral computed tomography in head imaging: simulation study.头部成像中光子计数光谱计算机断层扫描的光束质量优化:模拟研究
J Med Imaging (Bellingham). 2015 Oct;2(4):043504. doi: 10.1117/1.JMI.2.4.043504. Epub 2015 Nov 6.
10
Pulse oximetry based on photoplethysmography imaging with red and green light : Calibratability and challenges.基于红光和绿光的光体积描记成像的脉搏血氧饱和度测定法:可校准性和挑战。
J Clin Monit Comput. 2021 Feb;35(1):123-133. doi: 10.1007/s10877-019-00449-y. Epub 2020 Jan 1.

引用本文的文献

1
Towards bridging the synthetic-to-real gap in quantitative photoacoustic tomography via unsupervised domain adaptation.通过无监督域适应弥合定量光声断层扫描中合成与真实之间的差距。
Photoacoustics. 2025 Jul 4;45:100736. doi: 10.1016/j.pacs.2025.100736. eCollection 2025 Oct.
2
Artifacts in photoacoustic imaging: Origins and mitigations.光声成像中的伪像:起源与抑制
Photoacoustics. 2025 Jul 5;45:100745. doi: 10.1016/j.pacs.2025.100745. eCollection 2025 Oct.
3
Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging.

本文引用的文献

1
Deep learning for biomedical photoacoustic imaging: A review.用于生物医学光声成像的深度学习:综述
Photoacoustics. 2021 Feb 2;22:100241. doi: 10.1016/j.pacs.2021.100241. eCollection 2021 Jun.
2
Photoacoustics resolves species-specific differences in hemoglobin concentration and oxygenation.光声技术可解决血红蛋白浓度和氧合的种属特异性差异。
J Biomed Opt. 2020 Sep;25(9). doi: 10.1117/1.JBO.25.9.095002.
3
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.基于深度学习的光谱解混用于组织氧饱和度光声成像。
用于多光谱光学成像中血氧测定法验证的拟人化组织模拟体模。
J Biomed Opt. 2025 Jul;30(7):076006. doi: 10.1117/1.JBO.30.7.076006. Epub 2025 Jul 17.
4
Automatic photoacoustic monitoring of perinatal brain hypoxia with superior sagittal sinus detection.通过上矢状窦检测对围产期脑缺氧进行自动光声监测。
J Biomed Opt. 2025 Jul;30(7):076004. doi: 10.1117/1.JBO.30.7.076004. Epub 2025 Jul 11.
5
Depth-dependent fluence compensation without knowledge of tissue composition for quantitative ultrasound-guided photoacoustic imaging.用于定量超声引导光声成像的、无需了解组织成分的深度依赖型fluence补偿
J Biomed Opt. 2025 Jul;30(7):076005. doi: 10.1117/1.JBO.30.7.076005. Epub 2025 Jul 12.
6
Photoacoustic imaging for monitoring radiotherapy treatment response in head and neck tumors.用于监测头颈部肿瘤放疗治疗反应的光声成像
Sci Rep. 2025 May 10;15(1):16344. doi: 10.1038/s41598-025-95137-0.
7
A Study of Why We Need to Reassess Full Reference Image Quality Assessment with Medical Images.关于我们为何需要重新评估医学图像全参考图像质量评估的研究。
J Imaging Inform Med. 2025 Mar 24. doi: 10.1007/s10278-025-01462-1.
8
Guided Multispectral Optoacoustic Tomography for 3D Imaging of the Murine Colon.用于小鼠结肠三维成像的引导式多光谱光声断层扫描
Adv Sci (Weinh). 2025 Mar;12(10):e2413434. doi: 10.1002/advs.202413434. Epub 2025 Jan 21.
9
Ultrasound-guided photoacoustic image annotation toolkit in MATLAB (PHANTOM) for preclinical applications.用于临床前应用的MATLAB超声引导光声图像标注工具包(PHANTOM)。
Photoacoustics. 2024 Nov 9;41:100662. doi: 10.1016/j.pacs.2024.100662. eCollection 2025 Feb.
10
Advanced Techniques for Liver Fibrosis Detection: Spectral Photoacoustic Imaging and Superpixel Photoacoustic Unmixing Analysis for Collagen Tracking.肝脏纤维化检测的先进技术:用于胶原追踪的光谱光声成像和超像素光声解混分析。
Sensors (Basel). 2024 Jul 17;24(14):4617. doi: 10.3390/s24144617.
IEEE Trans Med Imaging. 2020 Nov;39(11):3643-3654. doi: 10.1109/TMI.2020.3001750. Epub 2020 Oct 28.
4
Quantitative PA tomography of high resolution 3-D images: Experimental validation in a tissue phantom.高分辨率三维图像的定量PA断层扫描:组织模型中的实验验证
Photoacoustics. 2020 Jan 8;17:100157. doi: 10.1016/j.pacs.2019.100157. eCollection 2020 Mar.
5
Estimating blood oxygenation from photoacoustic images: can a simple linear spectroscopic inversion ever work?从光声图像估计血氧饱和度:简单的线性光谱反演可行吗?
J Biomed Opt. 2019 Dec;24(12):1-13. doi: 10.1117/1.JBO.24.12.121914.
6
Development of a blood oxygenation phantom for photoacoustic tomography combined with online pO2 detection and flow spectrometry.用于光声断层扫描的血氧模拟体的开发,结合在线 pO2 检测和流谱仪。
J Biomed Opt. 2019 Oct;24(12):1-11. doi: 10.1117/1.JBO.24.12.121908.
7
Photoacoustic imaging as a tool to probe the tumour microenvironment.光声成像是一种探测肿瘤微环境的工具。
Dis Model Mech. 2019 Jul 16;12(7):dmm039636. doi: 10.1242/dmm.039636.
8
Photoacoustics can image spreading depolarization deep in gyrencephalic brain.光声成像可以对大脑回状结构深部的展布性去极化进行成像。
Sci Rep. 2019 Jun 17;9(1):8661. doi: 10.1038/s41598-019-44935-4.
9
Multispectral Optoacoustic Tomography of Benign and Malignant Thyroid Disorders: A Pilot Study.多光谱光声断层成像术在甲状腺良恶性疾病诊断中的初步研究
J Nucl Med. 2019 Oct;60(10):1461-1466. doi: 10.2967/jnumed.118.222174. Epub 2019 Mar 8.
10
Photoacoustic tomography of blood oxygenation: A mini review.血液氧合的光声断层成像:一篇综述
Photoacoustics. 2018 May 31;10:65-73. doi: 10.1016/j.pacs.2018.05.001. eCollection 2018 Jun.