Toward an Automated Method of Abdominal Fat Segmentation of MR Images

Completed

Conditions studied: Obesity

In brief

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.

Key facts

Study ID

NCT01228968

Run by

Washington University School of Medicine

People needed

9

Starts

2010-10-01

Expected to finish

2011-02-01

Last updated by the study team

2018-07-11

Who can join

Age: 18 and older, up to 70. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• ambulatory
• cognitively sound

You may not qualify if…

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

Where it is running

• Washington University School of Medicine — St Louis, Missouri, United States

Full record on ClinicalTrials.gov

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