• 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

高光谱/多光谱成像在胃肠病学中的应用。为黑暗带来别样光明。

Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some⁻Different⁻Light into the Dark.

作者信息

Ortega Samuel, Fabelo Himar, Iakovidis Dimitris K, Koulaouzidis Anastasios, Callico Gustavo M

机构信息

Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria 35017, Spain.

Dept. of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.

出版信息

J Clin Med. 2019 Jan 1;8(1):36. doi: 10.3390/jcm8010036.

DOI:10.3390/jcm8010036
PMID:30609685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6352071/
Abstract

Hyperspectral/Multispectral imaging (HSI/MSI) technologies are able to sample from tens to hundreds of spectral channels within the electromagnetic spectrum, exceeding the capabilities of human vision. These spectral techniques are based on the principle that every material has a different response (reflection and absorption) to different wavelengths. Thereby, this technology facilitates the discrimination between different materials. HSI has demonstrated good discrimination capabilities for materials in fields, for instance, remote sensing, pollution monitoring, field surveillance, food quality, agriculture, astronomy, geological mapping, and currently, also in medicine. HSI technology allows tissue observation beyond the limitations of the human eye. Moreover, many researchers are using HSI as a new diagnosis tool to analyze optical properties of tissue. Recently, HSI has shown good performance in identifying human diseases in a non-invasive manner. In this paper, we show the potential use of these technologies in the medical domain, with emphasis in the current advances in gastroenterology. The main aim of this review is to provide an overview of contemporary concepts regarding HSI technology together with state-of-art systems and applications in gastroenterology. Finally, we discuss the current limitations and upcoming trends of HSI in gastroenterology.

摘要

高光谱/多光谱成像(HSI/MSI)技术能够在电磁光谱范围内从数十个到数百个光谱通道进行采样,超越了人类视觉的能力。这些光谱技术基于每种材料对不同波长具有不同响应(反射和吸收)这一原理。因此,这项技术有助于区分不同的材料。HSI已在诸如遥感、污染监测、现场监视、食品质量、农业、天文学、地质测绘等领域以及目前在医学领域展现出对材料的良好辨别能力。HSI技术能够突破人眼的局限进行组织观察。此外,许多研究人员正在将HSI用作分析组织光学特性的新型诊断工具。最近,HSI在以非侵入性方式识别人类疾病方面表现出良好性能。在本文中,我们展示了这些技术在医学领域的潜在用途,重点介绍了胃肠病学的当前进展。本综述的主要目的是概述有关HSI技术的当代概念以及胃肠病学领域的最新系统和应用。最后,我们讨论了HSI在胃肠病学中的当前局限性和未来趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/c9629dcf0323/jcm-08-00036-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/0c3edf194572/jcm-08-00036-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/9d2cf5ac3a5d/jcm-08-00036-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/039a4eb02abe/jcm-08-00036-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/cad0b065b940/jcm-08-00036-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/33a63ee89c20/jcm-08-00036-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/d4ae36053645/jcm-08-00036-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/6f515a014c97/jcm-08-00036-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/561e9e70eb6c/jcm-08-00036-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/c9629dcf0323/jcm-08-00036-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/0c3edf194572/jcm-08-00036-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/9d2cf5ac3a5d/jcm-08-00036-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/039a4eb02abe/jcm-08-00036-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/cad0b065b940/jcm-08-00036-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/33a63ee89c20/jcm-08-00036-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/d4ae36053645/jcm-08-00036-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/6f515a014c97/jcm-08-00036-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/561e9e70eb6c/jcm-08-00036-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cdf/6352071/c9629dcf0323/jcm-08-00036-g009.jpg

相似文献

1
Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some⁻Different⁻Light into the Dark.高光谱/多光谱成像在胃肠病学中的应用。为黑暗带来别样光明。
J Clin Med. 2019 Jan 1;8(1):36. doi: 10.3390/jcm8010036.
2
In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.通过高光谱成像技术进行体内和体外组织分析:揭示癌症的隐形特征
Cancers (Basel). 2019 May 30;11(6):756. doi: 10.3390/cancers11060756.
3
Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited].数字与计算病理学中的高光谱和多光谱成像:一项系统综述[特邀文章]
Biomed Opt Express. 2020 May 21;11(6):3195-3233. doi: 10.1364/BOE.386338. eCollection 2020 Jun 1.
4
Trends in hyperspectral imaging: from environmental and health sensing to structure-property and nano-bio interaction studies.高光谱成像技术的发展趋势:从环境和健康传感到结构-性能和纳米-生物相互作用研究。
Anal Bioanal Chem. 2022 Jun;414(15):4269-4279. doi: 10.1007/s00216-022-03959-y. Epub 2022 Feb 17.
5
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation.基于学习高阶耦合张量环表示的高光谱图像超分辨率
IEEE Trans Neural Netw Learn Syst. 2020 Nov;31(11):4747-4760. doi: 10.1109/TNNLS.2019.2957527. Epub 2020 Oct 30.
6
Hyperspectral Imaging: A Review and Trends towards Medical Imaging.高光谱成象:回顾与医疗成象的发展趋势
Curr Med Imaging. 2022;19(5):417-427. doi: 10.2174/1573405618666220519144358.
7
Advanced Techniques for Hyperspectral Imaging in the Food Industry: Principles and Recent Applications.食品工业中高光谱成像的先进技术:原理与最新应用。
Annu Rev Food Sci Technol. 2019 Mar 25;10:197-220. doi: 10.1146/annurev-food-032818-121155. Epub 2019 Jan 11.
8
A plug-and-play Hyperspectral Imaging Sensor using low-cost equipment.一种使用低成本设备的即插即用高光谱成像传感器。
HardwareX. 2019 Nov 22;7:e00087. doi: 10.1016/j.ohx.2019.e00087. eCollection 2020 Apr.
9
Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons.使用高光谱成像的术中引导:外科医生综述
Diagnostics (Basel). 2021 Nov 8;11(11):2066. doi: 10.3390/diagnostics11112066.
10
The Future of Hyperspectral Imaging.高光谱成像的未来
J Imaging. 2019 Oct 25;5(11):84. doi: 10.3390/jimaging5110084.

引用本文的文献

1
A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.关于用于胃肠道疾病分类的计算机辅助诊断系统的综述。
Eur J Med Res. 2025 Jul 26;30(1):674. doi: 10.1186/s40001-025-02718-w.
2
Computer-aided endoscopic diagnostic system modified with hyperspectral imaging for the classification of esophageal neoplasms.采用高光谱成像技术改良的计算机辅助内镜诊断系统用于食管肿瘤的分类
Front Oncol. 2024 Dec 2;14:1423405. doi: 10.3389/fonc.2024.1423405. eCollection 2024.
3
Hyperspectral imaging facilitating resect-and-discard strategy through artificial intelligence-assisted diagnosis of colorectal polyps: A pilot study.

本文引用的文献

1
Demystifying autofluorescence with excitation-scanning hyperspectral imaging.用激发扫描高光谱成像揭开自发荧光的神秘面纱。
Proc SPIE Int Soc Opt Eng. 2018 Jan-Feb;10497. doi: 10.1117/12.2290818. Epub 2018 Feb 20.
2
Colorectal cancer detection by hyperspectral imaging using fluorescence excitation scanning.利用荧光激发扫描的高光谱成像技术检测结直肠癌
Proc SPIE Int Soc Opt Eng. 2018 Jan-Feb;10489. doi: 10.1117/12.2290696. Epub 2018 Feb 19.
3
In vivo tracking of orally-administered particles within the gastrointestinal tract of murine models using multispectral optoacoustic tomography.
高光谱成象通过人工智能辅助诊断结直肠息肉实现“切除并丢弃”策略:一项初步研究。
Cancer Med. 2024 Sep;13(18):e70195. doi: 10.1002/cam4.70195.
4
Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering.基于深度学习的高光谱成像技术定量测量组织中的血红蛋白、黑色素和散射光。
J Biomed Opt. 2024 Sep;29(9):093507. doi: 10.1117/1.JBO.29.9.093507. Epub 2024 Sep 6.
5
Endoscope Capsules: The Present Situation and Future Outlooks.内窥镜胶囊:现状与未来展望
Bioengineering (Basel). 2023 Nov 23;10(12):1347. doi: 10.3390/bioengineering10121347.
6
A Review of Recent Advances in Computer-Aided Detection Methods Using Hyperspectral Imaging Engineering to Detect Skin Cancer.利用高光谱成像技术检测皮肤癌的计算机辅助检测方法的最新进展综述
Cancers (Basel). 2023 Nov 29;15(23):5634. doi: 10.3390/cancers15235634.
7
Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection.基于机器学习的术中脑肿瘤检测高光谱成像基准
NPJ Precis Oncol. 2023 Nov 14;7(1):119. doi: 10.1038/s41698-023-00475-9.
8
Motionless volumetric structured light sheet microscopy.静态体积结构光片显微镜术
Biomed Opt Express. 2023 Apr 24;14(5):2209-2224. doi: 10.1364/BOE.489280. eCollection 2023 May 1.
9
Multispectral Imaging for Skin Diseases Assessment-State of the Art and Perspectives.多光谱成像在皮肤病评估中的应用:现状与展望。
Sensors (Basel). 2023 Apr 11;23(8):3888. doi: 10.3390/s23083888.
10
Snapshot multispectral imaging using a diffractive optical network.使用衍射光学网络的快照多光谱成像。
Light Sci Appl. 2023 Apr 6;12(1):86. doi: 10.1038/s41377-023-01135-0.
使用多光谱光声断层扫描技术在小鼠模型胃肠道内对口服颗粒进行体内追踪。
Photoacoustics. 2018 Nov 17;13:46-52. doi: 10.1016/j.pacs.2018.11.003. eCollection 2019 Mar.
4
Early identification of esophageal squamous neoplasm by hyperspectral endoscopic imaging.采用光谱内镜成像术早期识别食管鳞状肿瘤。
Sci Rep. 2018 Sep 14;8(1):13797. doi: 10.1038/s41598-018-32139-1.
5
Potential use of MCR-ALS for the identification of coeliac-related biochemical changes in hyperspectral Raman maps from pediatric intestinal biopsies.MCR-ALS在识别小儿肠道活检高光谱拉曼图谱中乳糜泻相关生化变化方面的潜在应用。
Integr Biol (Camb). 2018 Jun 18;10(6):356-363. doi: 10.1039/c8ib00028j.
6
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.高光谱图像的空谱分类在手术中用于脑癌检测。
PLoS One. 2018 Mar 19;13(3):e0193721. doi: 10.1371/journal.pone.0193721. eCollection 2018.
7
Detecting brain tumor in pathological slides using hyperspectral imaging.利用高光谱成像技术在病理切片中检测脑肿瘤。
Biomed Opt Express. 2018 Jan 25;9(2):818-831. doi: 10.1364/BOE.9.000818. eCollection 2018 Feb 1.
8
Mid-infrared multispectral tissue imaging using a chalcogenide fiber supercontinuum source.使用硫族化物光纤超连续谱源的中红外多光谱组织成像
Opt Lett. 2018 Mar 1;43(5):999-1002. doi: 10.1364/OL.43.000999.
9
Automated diagnosis of colon cancer using hyperspectral sensing.利用高光谱传感技术对结肠癌进行自动诊断。
Int J Med Robot. 2018 Jun;14(3):e1897. doi: 10.1002/rcs.1897. Epub 2018 Feb 26.
10
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.利用高光谱成像技术的术中可视化系统辅助脑肿瘤边界勾画。
Sensors (Basel). 2018 Feb 1;18(2):430. doi: 10.3390/s18020430.