SYSTEMATIC MULTIPARAMETRIC MAPPING OF DIFFERENT SCANNING FORMS OF K-SPACE USING AN AI-BASED IMAGE COMPUTATION ALGORITHM.

SYSTEMATIC MULTIPARAMETRIC MAPPING OF DIFFERENT SCANNING FORMS OF K-SPACE USING AN AI-BASED IMAGE COMPUTATION ALGORITHM. - CS_AI

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00024156

Enrollment

200

Registered

2021-03-19

Start date

2021-04-02

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

Healthy volunteers

Interventions

Group 1: 200 healthy and young subjects will receive a one-time MRI examination of the abdomen, spine, extremities, head or thorax with different sequences. These are then evaluated objectively and su

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Healthy volunteers

Exclusion criteria

Exclusion criteria: Contraindications against MRI, tatoos, pregnancy, anxiety in the MRI bore, known pre-existing illness in the scan region

Design outcomes

Primary

Measure	Time frame
Evaluation of signal to noise ratio and image quality.	—

Secondary

Measure	Time frame
Scan duration	—

Countries

Germany

Contacts

Public ContactGrischa Bratke

Institut für Diagnostische und Interventionelle Radiologie

grischa.bratke@uk-koeln.de022147882035

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 8, 2026