Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning

Xueshen Li; Yu Gan; David Duan; Xiao Yang

doi:10.1117/12.2646723

Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning

Xueshen Li
, Yu Gan
, David Duan
, Xiao Yang

Department of Biomedical Engineering

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Gastric motility disorders are caused by abnormal muscle contractions which may impede the digestive process. Traditional approaches for evaluating human gastric motility have limitations, including discomfort, use of sedation, risk of radiation exposure, and confusion in interpretation. Magnetically controlled capsule endoscopy (MCCE) provides a new way to evaluate human gastric with the advantages of comfort, safety, and no anesthesia. In this paper, we develop deep learning algorithms to detect human gastric waves captured by MCCE. We demonstrate promising experimental results both qualitatively and quantitatively. Our methods have great potential to assist in the diagnosis of human gastric disease by evaluating gastric motility.

Original language	English
Title of host publication	Medical Imaging 2023
Subtitle of host publication	Image Processing
Editors	Olivier Colliot, Ivana Isgum
ISBN (Electronic)	9781510660335
DOIs	https://doi.org/10.1117/12.2646723
State	Published - 2023
Event	Medical Imaging 2023: Image Processing - San Diego, United States Duration: 19 Feb 2023 → 23 Feb 2023

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	12464
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2023: Image Processing
Country/Territory	United States
City	San Diego
Period	19/02/23 → 23/02/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Deep learning
Gastric motility disorders
Magnetically controlled capsule endoscopy
Medical image analysis

Access to Document

10.1117/12.2646723

Cite this

@inproceedings{4ee509186cda48abb093d05eb902337a,

title = "Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning",

abstract = "Gastric motility disorders are caused by abnormal muscle contractions which may impede the digestive process. Traditional approaches for evaluating human gastric motility have limitations, including discomfort, use of sedation, risk of radiation exposure, and confusion in interpretation. Magnetically controlled capsule endoscopy (MCCE) provides a new way to evaluate human gastric with the advantages of comfort, safety, and no anesthesia. In this paper, we develop deep learning algorithms to detect human gastric waves captured by MCCE. We demonstrate promising experimental results both qualitatively and quantitatively. Our methods have great potential to assist in the diagnosis of human gastric disease by evaluating gastric motility.",

keywords = "Deep learning, Gastric motility disorders, Magnetically controlled capsule endoscopy, Medical image analysis",

author = "Xueshen Li and Yu Gan and David Duan and Xiao Yang",

note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; Medical Imaging 2023: Image Processing ; Conference date: 19-02-2023 Through 23-02-2023",

year = "2023",

doi = "10.1117/12.2646723",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

editor = "Olivier Colliot and Ivana Isgum",

booktitle = "Medical Imaging 2023",

}

Li, X, Gan, Y, Duan, D & Yang, X 2023, Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning. in O Colliot & I Isgum (eds), Medical Imaging 2023: Image Processing., 124641F, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12464, Medical Imaging 2023: Image Processing, San Diego, United States, 19/02/23. https://doi.org/10.1117/12.2646723

Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning. / Li, Xueshen; Gan, Yu; Duan, David et al.
Medical Imaging 2023: Image Processing. ed. / Olivier Colliot; Ivana Isgum. 2023. 124641F (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12464).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning

AU - Li, Xueshen

AU - Gan, Yu

AU - Duan, David

AU - Yang, Xiao

PY - 2023

Y1 - 2023

N2 - Gastric motility disorders are caused by abnormal muscle contractions which may impede the digestive process. Traditional approaches for evaluating human gastric motility have limitations, including discomfort, use of sedation, risk of radiation exposure, and confusion in interpretation. Magnetically controlled capsule endoscopy (MCCE) provides a new way to evaluate human gastric with the advantages of comfort, safety, and no anesthesia. In this paper, we develop deep learning algorithms to detect human gastric waves captured by MCCE. We demonstrate promising experimental results both qualitatively and quantitatively. Our methods have great potential to assist in the diagnosis of human gastric disease by evaluating gastric motility.

AB - Gastric motility disorders are caused by abnormal muscle contractions which may impede the digestive process. Traditional approaches for evaluating human gastric motility have limitations, including discomfort, use of sedation, risk of radiation exposure, and confusion in interpretation. Magnetically controlled capsule endoscopy (MCCE) provides a new way to evaluate human gastric with the advantages of comfort, safety, and no anesthesia. In this paper, we develop deep learning algorithms to detect human gastric waves captured by MCCE. We demonstrate promising experimental results both qualitatively and quantitatively. Our methods have great potential to assist in the diagnosis of human gastric disease by evaluating gastric motility.

KW - Deep learning

KW - Gastric motility disorders

KW - Magnetically controlled capsule endoscopy

KW - Medical image analysis

UR - https://www.scopus.com/pages/publications/85159642176

UR - https://www.scopus.com/pages/publications/85159642176#tab=citedBy

U2 - 10.1117/12.2646723

DO - 10.1117/12.2646723

M3 - Conference contribution

AN - SCOPUS:85159642176

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2023

A2 - Colliot, Olivier

A2 - Isgum, Ivana

T2 - Medical Imaging 2023: Image Processing

Y2 - 19 February 2023 through 23 February 2023

ER -

Detecting Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope via Deep Learning

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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