Journal
NEUROGASTROENTEROLOGY AND MOTILITY
Volume 34, Issue 1, Pages -Publisher
WILEY
DOI: 10.1111/nmo.14239
Keywords
gastric emptying; gastric motility; image segmentation; luminal wall motion analysis; magnetic resonance imaging; respiratory motion correction
Funding
- NIH SPARC [1OT2OD023847]
- NIH [R01 DK27627]
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Time-sequenced MRI is a valuable technique for assessing gastric emptying and motility, but there is a lack of automated image processing pipelines for 4D MRI data. This study developed an automated pipeline for analyzing dynamic 3D gastric MRI data and found that gastric emptying follows a linear-exponential pattern, while gastric motility exhibits peristaltic patterns with stronger contractile amplitude in the antrum compared to the corpus.
Background: Time-sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non-invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established. This study uses an MRI protocol for imaging the stomach with high spatiotemporal resolution and provides a pipeline for assessing gastric emptying and motility. Methods: Diet contrast-enhanced MRI images were acquired from seventeen healthy humans after they consumed a naturalistic contrast meal. An automated image processing pipeline was developed to correct for respiratory motion, to segment and compartmentalize the lumen-enhanced stomach, to quantify total gastric and compartmental emptying, and to compute and visualize gastric motility on the luminal surface of the stomach. Key Results: The gastric segmentation reached an accuracy of 91.10 +/- 0.43% with the Type-I error and Type-II error being 0.11 +/- 0.01% and 0.22 +/- 0.01%, respectively. Gastric volume decreased 34.64 +/- 2.8% over 1 h where the emptying followed a linear-exponential pattern. The gastric motility showed peristaltic patterns with a median = 4 wave fronts (range 3-6) and a mean frequency of 3.09 +/- 0.07 cycles per minute. Further, the contractile amplitude was stronger in the antrum than in the corpus (antrum vs. corpus: 5.18 +/- 0.24 vs. 3.30 +/- 0.16 mm; p < 0.001). Conclusions & Inferences: Our analysis pipeline can process dynamic 3D MRI images and produce personalized profiles of gastric motility and emptying. It will facilitate the application of MRI for monitoring gastric dynamics in research and clinical settings.
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