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Aquiring anatomical whole-body data by MRI meausurements for the generation of realistic computational body models

Recruiting
Conditions
Whole-body organ-/tissue structure, body physique
Registration Number
DRKS00022423
Lead Sponsor
Deutsches Krebsforschungszentrum
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Recruiting
Sex
All
Target Recruitment
4
Inclusion Criteria

Signed declaration of consent
- No contraindications for MRI examinations
- Ability to lie quiet for up to 3 hours
- Ability to follow breathing commands

Exclusion Criteria

- Contraindication for MRI examinations, e.g. pregnancy, seizure disorder, claustrophobia.
- Volunteers with ferromagnetic or metal implants, such as aneurysm clips, surgical clips, prostheses, artificial heart valves, metal fragments, tattoos, have to consult the responsible MD of the study and are possibly excluded from the study in case of contraindications.
- Strong sedative drugs
- Missing declaration of consent

Study & Design

Study Type
observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
The aim of this study is to acquire anatomical data of the human body by use of whole-body magnetic resonance imaging (MRI). The image data will be utilized to derive realistic three-dimensional computational body models. <br>Computational body models play a significant role in numerical simulations aiming to provide realistic information on the electromagnetic field distribution inside the human body produced by various technologies and applications, e.g. mobile communication systems and medical diagnostics (e.g. magnetic resonance imaging) and therapeutics. <br>The availability of body models covering a representative range of the population is important to achieve meaningful, accurate and, thus, realistic results concerning simulation-based design studies and safety assessments. <br>In this study, whole-body MRI will be performed for four adult volunteers with selected criteria regarding body physique, age and gender according to the anatomical computational body models to be generated.
Secondary Outcome Measures
NameTimeMethod
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