Crohn’s disease is an inflammatory bowel disease mostly affecting motility in terminal ileum of small bowel. In this study, cine magnetic resonance enterography scans were used to assess the terminal ileum motility. Motility was quantified using optical flow based and gradient based analysis. ROC statistical analysis showed that immotility and motility were separable with 87% accuracy when analyzed with optical flow based algorithm and 89% accuracy with gradient based algorithm. The best classification accuracy of 90.5% was obtained when both optical flow and gradient based analysis results were used as features to train a kNN algorithm with 15-fold cross validation.
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