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Cited by 256

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Imaging and modelling of digestion in the stomach and the duodenum

Schulze, K.·2006·Neurogastroenterology & Motility

Abstract

Abstract Gastroduodenal physiology is traditionally understood in terms of motor‐secretory functions and their electrical, neural and hormonal controls. In contrast, the fluid‐mechanical functions that retain and disperse particles, expose substrate to enzymes, or replenish the epithelial boundary with nutrients are little studied. Current ultrasound and magnetic resonance imaging allows to visualize processes critical to digestion like mixing, dilution, swelling, dispersion and elution. Methodological advances in fluid mechanics allow to numerically analyse the forces promoting digestion. Pressure and flow fields, the shear stresses dispersing particles or the effectiveness of bolus mixing can be computed using information on boundary movements and on the luminal contents. These technological advances promise many additional insights into the mechanical processes that promote digestion and absorption.

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Crossref · 10.1111/j.1365-2982.2006.00759.x

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Metadata

Authors
Schulze, K.
Venue
Neurogastroenterology & Motility
Publisher
Wiley
Published
2006-02-16
Volume
18
Issue
3
Pages
172-183
ISSN
  • 1350-1925 (ISSN-L)
  • 1365-2982
OpenAlex
W2033193815
Cited by
256
References
3
FWCI
3.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Imaging and modelling of digestion in the stomach and the duodenum. https://app.cochat.ai/papers/10.1111/j.1365-2982.2006.00759.x
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Schulze, K. (2006). Imaging and modelling of digestion in the stomach and the duodenum. Neurogastroenterology & Motility. https://doi.org/10.1111/j.1365-2982.2006.00759.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.