Aquiring anatomical whole-body data by MRI meausurements for the generation of realistic computational body models
- 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
Signed declaration of consent
- No contraindications for MRI examinations
- Ability to lie quiet for up to 3 hours
- Ability to follow breathing commands
- 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
Name Time Method 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
Name Time Method