A Novel Method for Time-Dependent Numerical Modeling of Gastric Motility Directly from Magnetic Resonance Imaging.

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dc.contributor.author Hosseini, Saeed
dc.contributor.author Avci, Recep
dc.contributor.author Paskaranandavadivel, Nira
dc.contributor.author Palmada, Nadun
dc.contributor.author Suresh, Vinod
dc.contributor.author Cheng, Leo K
dc.coverage.spatial United States
dc.date.accessioned 2021-01-13T03:32:25Z
dc.date.available 2021-01-13T03:32:25Z
dc.date.issued 2020-7
dc.identifier.isbn 9781728119908
dc.identifier.issn 2375-7477
dc.identifier.uri https://hdl.handle.net/2292/54203
dc.description.abstract Gastric motility has a critical role in disintegration and mixing of the ingested food inside the stomach. Several studies have been conducted to quantify and analyze the effect of the contractions of gastric musculature on the stomach contents. Despite the anatomical variation in stomach shape and motility patterns, previous numerical studies employed generalized geometries of the stomach as the computational domain for simulations. To model realistic gastric muscular contractions, the variation in stomach geometries need to be accounted for in numerical simulations. In the current study, a novel method was developed to utilize the recent advances in magnetic resonance imaging (MRI) technology and computational power expansion to build anatomically and physiologically realistic subject specific models of human gastric motility. In this method, MRI scans of the stomach were used to construct two and three dimensional geometry models of gastric motility. MRI was performed on 4 healthy participants. Using the developed method, dynamic numerical geometry models of gastric motility for each participant were constructed and related geometrical calculations were presented. Different combinations of solid and liquid test meals were consumed prior to the scans. The volume of the stomach ranged between 0.36 - 1.10 L in the fed state. The stomach models had an average length of 184 to 226 mm and a maximum diameter of 65 to 102 mm. Contraction propagation speed calculated from the models and MRI data were in good agreement, measuring around 2 mm/s.Clinical relevance- Clinicians can benefit from the proposed method for diagnostic purposes as the method is semi-automatic and can provide dynamic three-dimensional visualization of gastric motility of patients.
dc.format.medium Print
dc.publisher IEEE
dc.relation.ispartof 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society
dc.relation.ispartofseries Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.subject Stomach
dc.subject Humans
dc.subject Magnetic Resonance Imaging
dc.subject Digestion
dc.subject Gastrointestinal Motility
dc.subject Gastric Emptying
dc.subject Digestion
dc.subject Gastric Emptying
dc.subject Gastrointestinal Motility
dc.subject Humans
dc.subject Magnetic Resonance Imaging
dc.subject Stomach
dc.title A Novel Method for Time-Dependent Numerical Modeling of Gastric Motility Directly from Magnetic Resonance Imaging. en
dc.type Conference Item
dc.identifier.doi 10.1109/embc44109.2020.9175607
pubs.begin-page 2384
pubs.volume 2020
dc.date.updated 2020-12-03T23:53:27Z
dc.rights.holder Copyright: The author en
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/33018486
pubs.end-page 2387
pubs.finish-date 2020-7-24
pubs.publication-status Published
pubs.start-date 2020-7-20
dc.rights.accessrights http://purl.org/eprint/accessRights/RetrictedAccess en
pubs.elements-id 817116
dc.identifier.eissn 2694-0604


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