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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00034689
Enrollment
100
Registered
2024-07-18
Start date
2024-10-15
Completion date
Unknown
Last updated
2026-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

I40 I42 I50 I25

Interventions

Group 1: Patients who have a clinical indication for a cardiac MRI are examined following their clinical examination using innovative AI-supported cardiac MRI sequences. These sequences include automa

Sponsors

Universitätsmedizin Rostock
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

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

Exclusion criteria: - Pregnancy - General contraindications for an MRI examination (non-MRI-capable implants, claustrophobia)

Design outcomes

Primary

MeasureTime frame
Using 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

MeasureTime frame
Exam duration Image quality

Countries

Germany

Contacts

Public ContactAnn-Christin Klemenz

Universitätsmedizin Rostock

ann-christin.klemenz@med.uni-rostock.de03814949258

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026