MedPath

Overcoming the limitations of cardiac MRI: AI-based strategies for acceleratio

Conditions
I40
I42
I50
I25
Acute myocarditis
Cardiomyopathy
Heart failure
Chronic 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
NameTimeMethod
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
NameTimeMethod
Exam duration<br>Image quality
© Copyright 2025. All Rights Reserved by MedPath