Automatic analysis of trabecular bone structure from knee MRI

Research output: Contribution to journalJournal articleResearchpeer-review

We investigated the feasibility of quantifying osteoarthritis (OA) by analysis of the trabecular bone structure in low-field knee MRI. Generic texture features were extracted from the images and subsequently selected by sequential floating forward selection (SFFS), following a fully automatic, uncommitted machine-learning based framework. Six different classifiers were evaluated in cross-validation schemes and the results showed that the presence of OA can be quantified by a bone structure marker. The performance of the developed marker reached a generalization area-under-the-ROC (AUC) of 0.82, which is higher than the established cartilage markers known to relate to the OA diagnosis.
Original languageEnglish
JournalComputers in Biology and Medicine
Issue number7
Pages (from-to)735-742
Number of pages8
Publication statusPublished - 2012

ID: 40995413