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Software‐assisted small bowel motility analysis using free‐breathing MRI: Feasibility study
Author(s) -
Bickelhaupt Sebastian,
Froehlich Johannes M.,
Cattin Roger,
Raible Stephan,
Bouquet Hanspeter,
Bill Urs,
Patak Michael A.
Publication year - 2014
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24099
Subject(s) - breathing , computer science , medicine , software , radiology , anatomy , programming language
Purpose To validate a software prototype allowing for small bowel motility analysis in free breathing by comparing it to manual measurements. Materials and Methods In all, 25 patients (15 male, 10 female; mean age 39 years) were included in this Institutional Review Board‐approved, retrospective study. Magnetic resonance imaging (MRI) was performed on a 1.5T system after standardized preparation acquiring motility sequences in free breathing over 69–84 seconds. Small bowel motility was analyzed manually and with the software. Functional parameters, measurement time, and reproducibility were compared using the coefficient of variance and paired Student's t ‐test. Correlation was analyzed using Pearson's correlation coefficient and linear regression. Results The 25 segments were analyzed twice both by hand and using the software with automatic breathing correction. All assessed parameters significantly correlated between the methods ( P < 0.01), but the scattering of repeated measurements was significantly ( P < 0.01) lower using the software (3.90%, standard deviation [SD] ± 5.69) than manual examinations (9.77%, SD ± 11.08). The time needed was significantly less ( P < 0.001) with the software (4.52 minutes, SD ± 1.58) compared to manual measurement, lasting 17.48 minutes for manual (SD ± 1.75 minutes). Conclusion The use of the software proves reliable and faster small bowel motility measurements in free‐breathing MRI compared to manual analyses. The new technique allows for analyses of prolonged sequences acquired in free breathing, improving the informative value of the examinations by amplifying the evaluable data. J. Magn. Reson. Imaging 2014;39:17–23. © 2013 Wiley Periodicals, Inc.