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PMID: 38083297 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

MRI Derived Simulations of Flow Patterns in the Stomach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·Vol. 2023 ·2023-00-00 ·页码 1-4

Hosseini S, Palmada N, Avci R, Suresh V, Cheng LK

Abstract

A framework to simulate the flow in the stomach using subject-specific motility patterns and geometries was developed. Dynamic 2D magnetic resonance images (MRIs) were obtained. Motility parameters such as contraction speed and occlusion were quantified, and 3D stomach geometries were reconstructed using a semi-automated approach. Computational fluid dynamics (CFD) simulations were performed, and flow patterns were investigated. The stomach of both subjects had distinct anatomical features with computed volumes of 789 mL and 619 mL. For the one subject, the occlusion (i.e., normalized contraction size) was 12% while it was around 25% for the other subject. Contraction speeds were also different (1.9-2.8 mm/s vs 3.0-5.1 mm/s) for each subject. CFD simulations resulted in unsteady laminar flow for both subjects with average velocities of 2.1 and 3.2 mm/s. While antegrade flow was mainly observed in the simulations, a retropulsive jet was also present in both stomachs. The versatile framework developed within this study would allow the generation of CFD models of gastric motility from dynamic MRIs.Clinical Relevance- Subject-specific models of flow patterns informed by gastric motility features can elucidate the impact of contractions and anatomical variations on digestion. Such models can inform therapies to treat gastric dysfunctions and improve their efficacy.

MeSH 主题词
Humans Computer Simulation Magnetic Resonance Imaging/methods Stomach/diagnostic imaging Hydrodynamics Vascular Diseases
作者与单位
共 5 位作者,点击展开单位 / ORCID
Hosseini Saeed
Palmada Nadun
Avci Recep
Suresh Vinod
Cheng Leo K
Article Info
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Abbr.
Annu Int Conf IEEE Eng Med Biol Soc
ISSN
2694-0604
Published
2023-00-00
页码
1-4
Language
English
Country/Region
United States
NLM ID
101763872
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