Automated data pipeline for clinical quantitative 7T MRI

Project: Other


I. dicom to nifti conversion with following functionalities:
1: retaining radiological RL-orientation
2: retaining physical signal strength (image data in [a.u.]) or quantitity (parameter maps in specified unit)
3: pseudonymization of personal data compliant with GDPR
4: creating metafiles (.json) compliant with Brain Imaging Data Structure (BIDS) standard

II. basic pre-processing

III. Access and study organization
http access
organization, pseudonynization
maintenance and storage
data sharing
Short titleMedical Imaging Processing Pipeline
Effective start/end date2018/01/08 → …

Collaborative partners


Related research output

Gunther Helms, 2018 Aug, Challenges in quantitative MRI. EFOMP European Federation of Organizations for Medical Physics, Vol. Abstracts from the 2nd European Congress of Medical Physics. p. 7-7 1 p. 7. (Physica Medica, European Journal of Medical Physics; vol. 52, no. s1).

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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Related activities

Olsson, H. (Speaker)
2019 Sep 6

Activity: Talk or presentationInvited talk

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