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Toward an Automated Method of Abdominal Fat Segmentation of MR Images

NCT01228968 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 9

Last updated 2018-07-11

Study results available
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Summary

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.

Conditions

Sponsors & Collaborators

  • Washington University School of Medicine

    lead OTHER

Principal Investigators

  • Samuel Klein, M.D. · Washington University School of Medicine

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2010-10-31
Primary Completion
2011-02-28
Completion
2011-02-28

Countries

  • United States

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01228968 on ClinicalTrials.gov