Toward an Automated Method of Abdominal Fat Segmentation of MR Images

Subjects will undergo a brief magnetic resonance (MRI) scan. The resulting images will be used to compare two abdominal fat segmentation techniques. The first technique is already validated and in use. The second technique was recently developed and has not been validated. The hypothesis is that the second technique will be the faster and more reliable of the two.

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Key information

Conditions

Obesity Body Weight Nutrition Disorders Nutritional and Metabolic Diseases Overnutrition Overweight Pathological Conditions, Signs and Symptoms Signs and Symptoms

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Washington University School of Medicine

St Louis, Missouri, 63110, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

ambulatory
cognitively sound

Exclusion criteria

body mass index less than 18 or greater than 45 kilograms per square meter

Treatment and study plan

Primary outcomes

Visceral Fat Volume With Automated Analysis

Time frame: five minutes

This is the measurement of Abdominal Visceral Fat in cubic centimeters as determined with a new automated segmentation program.
Visceral Fat Volume With Manual Segmentation

Time frame: five minutes

This is the measure of visceral fat found with our older manual segmentation method

Secondary outcomes

Subcutaneous Fat Volume With Automated Analysis

Time frame: five minutes

This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with new automated anatomical segmentation software.
Subcutaneous Fat Volume With Manual Segmentation

Time frame: five minutes

This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with the older manual segmentation technique.

Sponsors and collaborators

Lead sponsor

Washington University School of Medicine

Other

Registry information

Important dates

Study start: 2010
Primary completion: 2011
Study completion: 2011
First posted: Oct 27, 2010
Registry last updated: Jul 11, 2018

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed