Norton, J.C. orcid.org/0000-0001-9981-5936, Martin, J.W., Winters, C. et al. (4 more authors) (2024) The adult large bowel: describing environment morphology for effective biomedical device development. Progress in Biomedical Engineering, 6 (3). 032003. ISSN 2516-1091
Abstract
An understanding of the biological environment, and in particular the physical morphology, is crucial for those developing medical devices and software applications. It not only informs appropriate design inputs, but provides the opportunity to evaluate outputs via virtual or synthetic models before investing in costly clinical investigations. The large bowel is a pertinent example, having a major demand for effective technological solutions to clinical unmet needs. Despite numerous efforts in this area, there remains a paucity of accurate and reliable data in literature. This work reviews what is available, including both processed datasets and raw medical images, before providing a comprehensive quantitative description of the environment for biomedical engineers in this and related regions of the body. Computed tomography images from 75 patients, and a blend of different mathematical and computational methods, are used to calculate and define several crucial metrics, including: a typical adult size (abdominal girth) and abdominal shape, location (or depth) of the bowel inside the abdomen, large bowel length, lumen diameter, flexure number and characteristics, volume and anatomical tortuosity. These metrics are reviewed and defined by both gender and body posture, as well as—wherever possible—being spilt into the various anatomical regions of the large bowel. The resulting data can be used to describe a realistic ‘average’ adult large bowel environment and so drive both design specifications and high fidelity test environments.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
Keywords: | large bowel; morphology; medical image analysis; endoscopy; virtual anatomy; colon specifications |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Gastroenterology and Surgery |
Funding Information: | Funder Grant number Cancer Research UK Supplier No: 138573 C64904/A27744 |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Oct 2024 14:53 |
Last Modified: | 16 Oct 2024 14:53 |
Status: | Published |
Publisher: | IOP Publishing |
Identification Number: | 10.1088/2516-1091/ad6dbf |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218327 |