Toward an Automated Method of Abdominal Fat Segmentation of MR Images

The Washington University

Status: Completed

Conditions: Obesity

Study type: Observational

Funder types: Other

Identifiers

NCT01228968

MRImethods060229

Details and patient eligibility

About

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.

Enrollment: 9 patients

Sex: All

Ages: 18 to 70 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• ambulatory
• cognitively sound

Exclusion criteria

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

Trial design

9 participants in 1 patient group

Volunteers

Description:

Volunteers will have a range of body mass index from 19 - 45 kilogram per square meter. In order to fit in the magnetic resonance scanner subjects must weigh less than 300 pounds.