Machine Learning Prediction of Collagen Fiber Orientation and Proteoglycan Content From Multiparametric Quantitative <scp>MRI</scp> in Articular Cartilage-Reference-Cited by-同舟云学术

Machine Learning Prediction of Collagen Fiber Orientation and Proteoglycan Content From Multiparametric Quantitative MRI in Articular Cartilage

Published:2022-07-21 Issue:4 Volume:57 Page:1056-1068
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Mirmojarabian Seyed Amir¹^ORCID,Kajabi Abdul Wahed²^ORCID,Ketola Juuso H. J.¹^ORCID,Nykänen Olli³^ORCID,Liimatainen Timo¹⁴^ORCID,Nieminen Miika T.¹⁴⁵^ORCID,Nissi Mikko J.¹³^ORCID,Casula Victor¹⁵^ORCID

Affiliation:

1. Research Unit of Medical Imaging, Physics and Technology University of Oulu Oulu Finland

2. Center for Magnetic Resonance Research University of Minnesota Minneapolis MN US

3. Department of Applied Physics University of Eastern Finland Kuopio Finland

4. Department of Diagnostic Radiology Oulu University Hospital Oulu Finland

5. Medical Research Center University of Oulu and Oulu University Hospital Oulu Finland

Funder

Academy of Finland

Instrumentarium Science Foundation

Jane and Aatos Erkko Foundation

North Savo Regional Fund

Suomen Kulttuurirahasto

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28353

Reference35 articles.

1. Compositional MRI techniques for evaluation of cartilage degeneration in osteoarthritis

2. Orientational dependence ofT2 relaxation in articular cartilage: A microscopic MRI (?MRI) study

3. Adiabatic rotating frame relaxation of MRI reveals early cartilage degeneration in a rabbit model of anterior cruciate ligament transection

4. Multi-parametric MRI characterization of enzymatically degraded articular cartilage

5. Multiparametric MR imaging reveals early cartilage degeneration at 2 and 8 weeks after ACL transection in a rabbit model

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