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Published on: February 3, 2016
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Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn's Disease:
Yoshio Kitazume1, Kento Takenaka2, Kazuo Ohtsuka2
1Department of Diagnostic Radiology and Nuclear Medicine, Tokyo Medical and Dental University.
Summary
This study shows that a new MRI technique can accurately measure bowel motility in Crohn's disease (CD) patients. The motility map effectively reflects endoscopic inflammatory activity, aiding in objective interpretation of MR enterocolonography (MREC).
Area of Science:
- Gastroenterology
- Medical Imaging
- Radiology
Background:
- Crohn's disease (CD) is a chronic inflammatory bowel disease.
- Accurate assessment of small bowel motility is crucial for CD management.
- Current imaging techniques may not fully capture dynamic bowel activity.
Purpose of the Study:
- To quantify bowel motility using cine MRI and optical flow algorithms.
- To compare MRI-derived motility with balloon-assisted enteroscopy (BAE) findings in CD patients.
- To evaluate the correlation between MRI motility quantification and endoscopic inflammatory activity.
Main Methods:
- Retrospective analysis of 29 CD patients undergoing MR enterocolonography (MREC) and BAE.
- Development of software to generate bowel motility maps from cine MRI using the Horn-Schunck optical flow method.
- Comparison of motility scores with CD endoscopic index of severity (CDEIS) and other MR indices.
Main Results:
- Motility score showed a significant negative correlation with CDEIS (r = -0.59 and -0.54, P < 0.001).
- Area under the curve (AUC) for detecting significant CDEIS (≥3) was 88.2% and 78.6% for the two observers.
- No significant difference in AUC for detecting CDEIS between motility score and sMaRIA or MREC score.
Conclusions:
- Bowel motility maps generated by optical flow on cine MRI are feasible for local quantification.
- The motility score accurately reflects endoscopic inflammatory activity in small bowel segments of CD patients.
- This technique offers an objective tool for interpreting MREC to predict inflammatory activity in CD.

