Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information

Tissues such as tendons, ligaments, articular cartilage, and menisci contain significant amounts of organised collagen which gives rise to the Magic Angle effect during magnetic resonance imaging (MRI). The MR intensity response of these tissues is dependent on the angle between the main field, B0,...

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Main Authors: Harry Lanz, Mihailo Ristic, Karyn E. Chappell, John V.M. McGinley
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Array
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005622001060
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author Harry Lanz
Mihailo Ristic
Karyn E. Chappell
John V.M. McGinley
author_facet Harry Lanz
Mihailo Ristic
Karyn E. Chappell
John V.M. McGinley
author_sort Harry Lanz
collection DOAJ
description Tissues such as tendons, ligaments, articular cartilage, and menisci contain significant amounts of organised collagen which gives rise to the Magic Angle effect during magnetic resonance imaging (MRI). The MR intensity response of these tissues is dependent on the angle between the main field, B0, and the direction of the collagen fibres. Our previous work showed that by acquiring scans at as few as 7–9 different field orientations, depending on signal to noise ratio (SNR), the tissue microstructure can be deduced from the intensity variations across the set of scans. Previously our Magic Angle Directional Imaging (MADI) technique used rigid registration and manual final alignment, and did not assume any knowledge of the target anatomy being scanned. In the present work, fully automatic soft registration is incorporated into the MADI workflow and a priori knowledge of the target anatomy is used to reduce the required number of scans. Simulation studies were performed to assess how many scans are theoretically necessary. These findings were then applied to MRI data from a caprine knee specimen. Simulations suggested that using 3 scans might be sufficient, but in practice 4 scans were necessary to achieve high accuracy. 5 scans only offered marginal gains over 4 scans. A 15 scan dataset was used as a gold standard for quantitative voxel-to-voxel comparison of computed fibre directions, qualitative comparison of collagen tractography plots are also presented. The results are also encouraging at low SNR values, showing robustness of the method and applicability at low field.
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spelling doaj.art-c3393cb4fd6d46a5a7593185d521e2e12023-02-17T04:55:35ZengElsevierArray2590-00562023-03-0117100273Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori informationHarry Lanz0Mihailo Ristic1Karyn E. Chappell2John V.M. McGinley3Corresponding author.; Mechanical Engineering Department, Imperial College London, London, UKMechanical Engineering Department, Imperial College London, London, UKMechanical Engineering Department, Imperial College London, London, UKMechanical Engineering Department, Imperial College London, London, UKTissues such as tendons, ligaments, articular cartilage, and menisci contain significant amounts of organised collagen which gives rise to the Magic Angle effect during magnetic resonance imaging (MRI). The MR intensity response of these tissues is dependent on the angle between the main field, B0, and the direction of the collagen fibres. Our previous work showed that by acquiring scans at as few as 7–9 different field orientations, depending on signal to noise ratio (SNR), the tissue microstructure can be deduced from the intensity variations across the set of scans. Previously our Magic Angle Directional Imaging (MADI) technique used rigid registration and manual final alignment, and did not assume any knowledge of the target anatomy being scanned. In the present work, fully automatic soft registration is incorporated into the MADI workflow and a priori knowledge of the target anatomy is used to reduce the required number of scans. Simulation studies were performed to assess how many scans are theoretically necessary. These findings were then applied to MRI data from a caprine knee specimen. Simulations suggested that using 3 scans might be sufficient, but in practice 4 scans were necessary to achieve high accuracy. 5 scans only offered marginal gains over 4 scans. A 15 scan dataset was used as a gold standard for quantitative voxel-to-voxel comparison of computed fibre directions, qualitative comparison of collagen tractography plots are also presented. The results are also encouraging at low SNR values, showing robustness of the method and applicability at low field.http://www.sciencedirect.com/science/article/pii/S2590005622001060CollagenMagic angleMagnetic resonance imagingTractographySoft registration
spellingShingle Harry Lanz
Mihailo Ristic
Karyn E. Chappell
John V.M. McGinley
Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
Array
Collagen
Magic angle
Magnetic resonance imaging
Tractography
Soft registration
title Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
title_full Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
title_fullStr Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
title_full_unstemmed Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
title_short Minimum number of scans for collagen fibre direction estimation using Magic Angle Directional Imaging (MADI) with a priori information
title_sort minimum number of scans for collagen fibre direction estimation using magic angle directional imaging madi with a priori information
topic Collagen
Magic angle
Magnetic resonance imaging
Tractography
Soft registration
url http://www.sciencedirect.com/science/article/pii/S2590005622001060
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