Next Article in Journal / Special Issue
Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation
Previous Article in Journal
Asymptomatic Aortic Stenosis in an Older Patient: How the Geriatric Approach Can Make a Difference
Previous Article in Special Issue
Advanced Diffusion-Weighted Imaging Sequences for Breast MRI: Comprehensive Comparison of Improved Sequences and Ultra-High B-Values to Identify the Optimal Combination
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Diagnostics
Volume 13
Issue 5
10.3390/diagnostics13050910
diagnostics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Technical Note

End to End Colonic Content Assessment: ColonMetry Application

by
Bernat Orellana
1,
Eva Monclús
1,
Isabel Navazo
1,
Álvaro Bendezú
2,
Carolina Malagelada
3,4,5 and
Fernando Azpiroz
3,4,5,*
1
Visualization, Virtual Reality and Graphics Interaction Research Group, UPC-BarcelonaTech, 08034 Barcelona, Spain
2
Digestive Department, University Hospital General de Catalunya, 08190 Barcelona, Spain
3
Digestive System Research Unit, University Hospital Vall d’Hebron, 08035 Barcelona, Spain
4
Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
5
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Ciberehd, 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
Diagnostics 2023, 13(5), 910; https://doi.org/10.3390/diagnostics13050910
Submission received: 15 December 2022 / Revised: 17 February 2023 / Accepted: 24 February 2023 / Published: 28 February 2023
(This article belongs to the Special Issue Advanced Techniques in Body Magnetic Resonance Imaging 2.0)
Browse Figures
Versions Notes

Abstract

The analysis of colonic contents is a valuable tool for the gastroenterologist and has multiple applications in clinical routine. When considering magnetic resonance imaging (MRI) modalities, T2 weighted images are capable of segmenting the colonic lumen, whereas fecal and gas contents can only be distinguished in T1 weighted images. In this paper, we present an end-to-end quasi-automatic framework that comprises all the steps needed to accurately segment the colon in T2 and T1 images and to extract colonic content and morphology data to provide the quantification of colonic content and morphology data. As a consequence, physicians have gained new insights into the effects of diets and the mechanisms of abdominal distension.
Keywords: magnetic resonance imaging; colonic content; colon segmentation; intestinal biomass; intestinal gas; functional digestive disorders magnetic resonance imaging; colonic content; colon segmentation; intestinal biomass; intestinal gas; functional digestive disorders

Share and Cite

MDPI and ACS Style

Orellana, B.; Monclús, E.; Navazo, I.; Bendezú, Á.; Malagelada, C.; Azpiroz, F. End to End Colonic Content Assessment: ColonMetry Application. Diagnostics 2023, 13, 910. https://doi.org/10.3390/diagnostics13050910

AMA Style

Orellana B, Monclús E, Navazo I, Bendezú Á, Malagelada C, Azpiroz F. End to End Colonic Content Assessment: ColonMetry Application. Diagnostics. 2023; 13(5):910. https://doi.org/10.3390/diagnostics13050910

Chicago/Turabian Style

Orellana, Bernat, Eva Monclús, Isabel Navazo, Álvaro Bendezú, Carolina Malagelada, and Fernando Azpiroz. 2023. "End to End Colonic Content Assessment: ColonMetry Application" Diagnostics 13, no. 5: 910. https://doi.org/10.3390/diagnostics13050910

APA Style

Orellana, B., Monclús, E., Navazo, I., Bendezú, Á., Malagelada, C., & Azpiroz, F. (2023). End to End Colonic Content Assessment: ColonMetry Application. Diagnostics, 13(5), 910. https://doi.org/10.3390/diagnostics13050910

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop