Evidence map›Paper›PMID 41335706›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2025

Feature tracking-based motility analysis of excised intestinal tissue using video recordings.

Recep Avci, Vikram Joshi, Arthur Beyder, Gianrico Farrugia, Peng Du

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Recep Avci
Vikram Joshi
Arthur Beyder
Gianrico Farrugia
Peng Du

Funding

MECHANOTRANSDUCTION IN INTESTINAL SMOOTH MUSCLE CELLSR01DK052766 · NIDDK · MAYO CLINIC ROCHESTER · PI BEYDER, ARTHUR, FARRUGIA, GIANRICO · 1997 to 2025
$8.3M
NIDDK NIH HHS R01 DK052766
6 · The paper itself

Abstract

This study presents a novel feature-based tracking method for quantifying intestinal motility using video recordings of excised intestinal tissue samples. Tissue motions were analyzed by tracking distinctive features between frames, enabling precise quantification of contractile activity. A density-based clustering approach was used to analyze regional motility characteristics. Motility metrics, including dominant frequency, amplitude, and coordination (i.e., the proportion of the tissue region contracting at the dominant frequency), were extracted. Results showed regional variations in motility characteristics. The overall weighted frequency of the tissues was in the range of 0.13-0.17 Hz (7.8-10.2 cycles per minute). The contraction amplitude had a larger variation compared to the frequency with a range of 19.4-40.4 pixels. The tissue coordination was between 12% to 34%, indicating heterogeneity within the field-of-view. The estimates of tissue motion from feature tracking showed high correlation (0.71-0.89) with direct measurements of tissue wall movement, validating the accuracy of the proposed method. Future work will apply the method to larger cohorts and animal models with different pathophysiological conditions.Clinical Relevance - This approach provides a robust tool for assessing gut motility dynamics, which could be valuable for future investigations into the pathophysiology of functional gastrointestinal disorders and therapeutic interventions.

Indexed as

Gastrointestinal MotilityIntestinesVideo RecordingAlgorithmsAnimals

Identifiers

PMID41335706
PMCPMC12832128

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.