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Accuracy of collagen fibre estimation under noise using directional MR imaging
In tissues containing significant amounts of organised collagen, such as tendons, ligaments, menisci and articular cartilage, MR imaging exhibits a strong signal intensity variation caused by the angle between the collagen fibres and the magnetic field. By obtaining scans at different field orientat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721590/ https://www.ncbi.nlm.nih.gov/pubmed/33069034 http://dx.doi.org/10.1016/j.compmedimag.2020.101796 |
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author | Brujic, Djordje Chappell, Karyn E. Ristic, Mihailo |
author_facet | Brujic, Djordje Chappell, Karyn E. Ristic, Mihailo |
author_sort | Brujic, Djordje |
collection | PubMed |
description | In tissues containing significant amounts of organised collagen, such as tendons, ligaments, menisci and articular cartilage, MR imaging exhibits a strong signal intensity variation caused by the angle between the collagen fibres and the magnetic field. By obtaining scans at different field orientations it is possible to determine the unknown fibre orientations and to deduce the underlying tissue microstructure. Our previous work demonstrated how this method can detect ligament injuries and maturity-related changes in collagen fibre structures. Practical application in human diagnostics will demand minimisation of scanning time and likely use of open low-field scanners that can allow re-orienting of the main field. This paper analyses the performance of collage fibre estimation for various image SNR values, and in relation to key parameters including number of scanning directions and parameters of the reconstruction algorithm. The analysis involved Monte Carlo simulation studies which provided benchmark performance measures, and studies using MR images of caprine knee samples with increasing levels of synthetic added noise. Tractography plots in the form of streamlines were performed, and an Alignment Index (AI) was employed as a measure of the detected orientation distribution. The results are highly encouraging, showing high accuracy and robustness even for low image SNR values. |
format | Online Article Text |
id | pubmed-7721590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77215902020-12-11 Accuracy of collagen fibre estimation under noise using directional MR imaging Brujic, Djordje Chappell, Karyn E. Ristic, Mihailo Comput Med Imaging Graph Article In tissues containing significant amounts of organised collagen, such as tendons, ligaments, menisci and articular cartilage, MR imaging exhibits a strong signal intensity variation caused by the angle between the collagen fibres and the magnetic field. By obtaining scans at different field orientations it is possible to determine the unknown fibre orientations and to deduce the underlying tissue microstructure. Our previous work demonstrated how this method can detect ligament injuries and maturity-related changes in collagen fibre structures. Practical application in human diagnostics will demand minimisation of scanning time and likely use of open low-field scanners that can allow re-orienting of the main field. This paper analyses the performance of collage fibre estimation for various image SNR values, and in relation to key parameters including number of scanning directions and parameters of the reconstruction algorithm. The analysis involved Monte Carlo simulation studies which provided benchmark performance measures, and studies using MR images of caprine knee samples with increasing levels of synthetic added noise. Tractography plots in the form of streamlines were performed, and an Alignment Index (AI) was employed as a measure of the detected orientation distribution. The results are highly encouraging, showing high accuracy and robustness even for low image SNR values. Elsevier Science 2020-12 /pmc/articles/PMC7721590/ /pubmed/33069034 http://dx.doi.org/10.1016/j.compmedimag.2020.101796 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Brujic, Djordje Chappell, Karyn E. Ristic, Mihailo Accuracy of collagen fibre estimation under noise using directional MR imaging |
title | Accuracy of collagen fibre estimation under noise using directional MR imaging |
title_full | Accuracy of collagen fibre estimation under noise using directional MR imaging |
title_fullStr | Accuracy of collagen fibre estimation under noise using directional MR imaging |
title_full_unstemmed | Accuracy of collagen fibre estimation under noise using directional MR imaging |
title_short | Accuracy of collagen fibre estimation under noise using directional MR imaging |
title_sort | accuracy of collagen fibre estimation under noise using directional mr imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721590/ https://www.ncbi.nlm.nih.gov/pubmed/33069034 http://dx.doi.org/10.1016/j.compmedimag.2020.101796 |
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