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Estimation of trabecular bone parameters in children from multisequence MRI using texture‐based regression
Author(s) -
Lekadir Karim,
Hoogendoorn Corné,
Armitage Paul,
Whitby Elspeth,
King David,
Dimitri Paul,
Frangi Alejandro F.
Publication year - 2016
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4950713
Subject(s) - magnetic resonance imaging , cancellous bone , pattern recognition (psychology) , population , linear regression , artificial intelligence , biomedical engineering , computer science , mathematics , radiology , medicine , statistics , anatomy , environmental health
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.