Overcoming the limitations of cardiac MRI: AI-based strategies for acceleratio
- Conditions
- I40I42I50I25Acute myocarditisCardiomyopathyHeart failureChronic ischaemic heart disease
- Registration Number
- DRKS00034689
- Lead Sponsor
- niversitätsmedizin Rostock
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 100
Inclusion Criteria
Age > 18 years at the time of the study
- Subject's ability to understand and voluntarily sign a written informed consent form after being given an overview of the nature and purpose of this study
Exclusion Criteria
- Pregnancy
- General contraindications for an MRI examination (non-MRI-capable implants, claustrophobia)
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method sing the recorded sequences, a volumetric evaluation of the left and right ventricle can be carried out in post-processing. The volumes determined from this (both from the automated planning and from the sequences in free breathing) are compared with the conventional clinical sequences with regard to deviations.
- Secondary Outcome Measures
Name Time Method Exam duration<br>Image quality