Lekadir, K., Hoogendoorn, C., Armitage, P. et al. (4 more authors) (2016) Estimation of trabecular bone parameters in children from multisequence MRI using texture-based regression. Medical Physics, 43 (6). 3071. ISSN 0094-2405
Abstract
PURPOSE: This paper presents a statistical approach for the prediction of trabecular bone parameters from low-resolution multisequence magnetic resonance imaging (MRI) in children, thus addressing the limitations of high-resolution modalities such as HR-pQCT, including the significant exposure of young patients to radiation and the limited applicability of such modalities to peripheral bones in vivo. METHODS: A statistical predictive model is constructed from a database of MRI and HR-pQCT datasets, to relate the low-resolution MRI appearance in the cancellous bone to the trabecular parameters extracted from the high-resolution images. The description of the MRI appearance is achieved between subjects by using a collection of feature descriptors, which describe the texture properties inside the cancellous bone, and which are invariant to the geometry and size of the trabecular areas. The predictive model is built by fitting to the training data a nonlinear partial least square regression between the input MRI features and the output trabecular parameters. RESULTS: Detailed validation based on a sample of 96 datasets shows correlations >0.7 between the trabecular parameters predicted from low-resolution multisequence MRI based on the proposed statistical model and the values extracted from high-resolution HRp-QCT. CONCLUSIONS: The obtained results indicate the promise of the proposed predictive technique for the estimation of trabecular parameters in children from multisequence MRI, thus reducing the need for high-resolution radiation-based scans for a fragile population that is under development and growth.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 American Association of Physicists in Medicine. This is an author produced version of a paper subsequently published in Medical Physics. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Human Metabolism (Sheffield) The University of Sheffield > Sheffield Teaching Hospitals |
Funding Information: | Funder Grant number SHEFFIELD HOSPITALS CHARITABLE TRUST 141515-4 EUROPEAN COMMISSION - FP6/FP7 MYSPINE - 269909 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) None |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Jun 2016 09:25 |
Last Modified: | 01 Jul 2017 20:18 |
Published Version: | http://dx.doi.org/10.1118/1.4950713 |
Status: | Published |
Publisher: | American Association of Physicists in Medicine |
Refereed: | Yes |
Identification Number: | 10.1118/1.4950713 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101167 |