Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects

Sarin J. K.; te Moller N. C. R.; Mohammadi A.; Prakash M.; Torniainen J.; Brommer H.; Nippolainen E.; Shaikh R.; Makela J. T. A.; Korhonen R. K.; van Weeren P. R.; Afara I. O.; Toyras J.

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Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects

机译：机器学习增强近红外光谱：在体内软骨缺陷的后续行动

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摘要

Objective: To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects.

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来源
《Osteoarthritis and cartilage》 |2021年第3期|共10页
作者
Sarin J. K.; te Moller N. C. R.; Mohammadi A.; Prakash M.; Torniainen J.; Brommer H.; Nippolainen E.; Shaikh R.; Makela J. T. A.; Korhonen R. K.; van Weeren P. R.; Afara I. O.; Toyras J.;
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作者单位

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Utrecht Fac Vet Med Dept Clin Sci Utrecht Netherlands;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Eastern Finland AI Virtanen Inst Mol Sci Kuopio Finland;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Utrecht Fac Vet Med Dept Clin Sci Utrecht Netherlands;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Eastern Finland AI Virtanen Inst Mol Sci Kuopio Finland;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

Univ Eastern Finland Dept Appl Phys Kuopio Finland;

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原文格式 PDF
正文语种 eng
中图分类骨科学（运动系疾病、矫形外科学）;
关键词
Osteoarthritis; Near-infrared spectroscopy; Machine learning; Convolutional neural network; Disease progression;

机译：骨关节炎;近红外光谱;机器学习;卷积神经网络;疾病进展;

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1. Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice [J] . Li-juan XIE, Yi-bin YING 浙江大学学报（英文版）（B辑：生物医学和生物技术） . 2009,第006期
2. Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm [J] . Yifei Wang12, Kai Wang12, Zhao Zhou12, 化学科学与工程前沿：英文版 . 2019,第003期
3. Evaluation of cartilage defects with near-infrared spectroscopy (NIR): an ex vivo study. [J] . Spahn G, Plettenberg H, Nagel H, Medical engineering & physics. . 2008,第3期

机译：用近红外光谱（NIR）评估软骨缺损：一项离体研究。
4. Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score [J] . AfaraI., PrasadamI., CrawfordR., Osteoarthritis and cartilage . 2012,第11期

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5. Do formalin fixation and freeze-thaw affect near-infrared Raman spectroscopy of cartilaginous tissue? A preliminary ex vivo analysis of native human articular cartilage [J] . Takahashi Yasuhito, Shishido Takaaki, Yamamoto Kengo, Journal of Raman Spectroscopy: An International Journal for Original Work in All Aspects of Raman Spectroscopy, Including Higher Order Processes, and Also Brillouin- and Rayleigh Scattering . 2015,第11期

机译：福尔马林固定和冻融会影响软骨组织的近红外拉曼光谱吗？天然人类关节软骨的体外初步分析
6. Prediction of Soil Macronutrient (Nitrate and Phosphorus) Using Near-infrared (NIR) Spectroscopy and Machine Learning [C] . A. R. Laili, R. Endut, N. Ali, International Conference on Applied Photonics and Electronics . 2020

机译：利用近红外线（NIR）光谱和机器学习预测土壤Macronurient（硝酸盐和磷）的预测
7. Mechanisms of articular cartilage defect repair in vivo after implantation of stratified cartilaginous tissue. [D] . Chawla, Kanika. 2006

机译：分层软骨组织植入后体内关节软骨缺损的修复机制。
8. Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics [O] . Yuanpeng Li, Liu Guo, Li Li, 2020

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9. Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin Score [O] . Afara Isaac O., Prasadam Indira, Crawford Ross W., 2012

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机译：HOsub2 NOsub2 Nsub2 - >的速率常数的测量。 HOsub2NOsub2 Nsub2使用近红外波长调制光谱和紫外 - 可见吸收光谱

Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects

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