ArticleIEEE transactions on bio-medical engineering2023
Diffeomorphic Surface Modeling for MRI-Based Characterization of Gastric Anatomy and Motility.
Article in IEEE transactions on bio-medical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Gastroparesis Phenotyping: Current Methods and Emerging Opportunities With Magnetic Resonance Imaging.Neurogastroenterology and motility · 2026Review
- Magnetic Resonance Imaging of Gastric Motility in Conscious Rats.Neurogastroenterology and motility · 2026Article
- Spatiotemporal Maps for Dynamic MRI Reconstruction.IEEE transactions on computational imaging · 2026Article
- SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations.IEEE transactions on medical imaging · 2025Article
- Dynamic Magnetic Resonance Imaging of Whole-Stomach Motility in Rats.NMR in biomedicine · 2025Article
- SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations.bioRxiv : the preprint server for biology · 2025Article
- Surface mapping of gastric motor functions using MRI: a comparative study between humans and rats.American journal of physiology. Gastrointestinal and liver physiology · 2024Article
- Mapping the rat gastric slow-wave conduction pathway: bridging in vitro and in vivo methods, revealing a loosely coupled region in the distal stomach.American journal of physiology. Gastrointestinal and liver physiology · 2024Article
- Characterization of neuromuscular transmission and projections of muscle motor neurons in the rat stomach.American journal of physiology. Gastrointestinal and liver physiology · 2024Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 3 countries.
Funding
Abstract
objectiveGastrointestinal magnetic resonance imaging (MRI) provides rich spatiotemporal data about the movement of the food inside the stomach, but does not directly report muscular activity on the stomach wall. Here we describe a novel approach to characterize the motility of the stomach wall that drives the volumetric changes of the ingesta.
methodsA neural ordinary differential equation was optimized to model a diffeomorphic flow that ascribed the deformation of the stomach wall to a continuous biomechanical process. Driven by this diffeomorphic flow, the surface of the stomach progressively changes its shape over time, while preserving its topology and manifoldness.
resultsWe tested this approach with MRI data collected from 10 rats under a lightly anesthetized condition, and demonstrated accurate characterization of gastric motor events with an error in the order of sub-millimeters. Uniquely, we characterized gastric anatomy and motility with a surface coordinate system common at both individual and group levels. Functional maps were generated to reveal the spatial, temporal, and spectral characteristics of muscle activity and its coordination across different regions. The peristalsis at the distal antrum had a dominant frequency and peak-to-peak amplitude of [Formula: see text] cycles per minute and [Formula: see text] mm, respectively. The relationship between muscle thickness and gastric motility was found to be distinct between two functional regions in the proximal and distal stomach.
conclusionThese results demonstrate the efficacy of using MRI to model gastric anatomy and function. SIGNIFICANCE: The proposed approach is expected to enable non-invasive and accurate mapping of gastric motility for preclinical and clinical studies.
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