Automatic Patient Positioning Control and Correction on MRI Localizer Images
Azouzi Z, Vorberg L, Schneider R, Maier A, Wagner F (2026)
Publication Type: Conference contribution
Publication year: 2026
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Pages Range: 162-168
Conference Proceedings Title: Informatik aktuell
Event location: Lübeck
ISBN: 9783658510992
DOI: 10.1007/978-3-658-51100-5_34
Abstract
Accurate anatomical positioning is essential in magnetic resonance imaging (MRI) to ensure the acquisition of diagnostically useful images. In high-throughput clinical workflows, MRI technicians must position patients rapidly, increasing the likelihood of off-isocenter placements that may necessitate manual repositioning. This study introduces an anatomy-specific, automatic patient positioning control algorithm that predicts required positioning corrections. To support this, we developed and evaluated a segmentation and post-processing pipeline designed to provide actionable feedback to the user. Two annotation strategies – morphological and abstract – were employed. Experimental results show a mean error of 0.35±1.27mm on the shoulder using morphological annotations and 0.50±1.10mm on the wrist using abstract annotations. These results suggest that the proposed approach achieves sufficient accuracy for integration into clinical MRI workflows based on the evaluated datasets.
Authors with CRIS profile
Involved external institutions
How to cite
APA:
Azouzi, Z., Vorberg, L., Schneider, R., Maier, A., & Wagner, F. (2026). Automatic Patient Positioning Control and Correction on MRI Localizer Images. In Heinz Handels, Katharina Breininger, Thomas Deserno, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 162-168). Lübeck, DE: Springer Science and Business Media Deutschland GmbH.
MLA:
Azouzi, Zeineb, et al. "Automatic Patient Positioning Control and Correction on MRI Localizer Images." Proceedings of the Bildverarbeitung für die Medizin Workshop, BVM 2026, Lübeck Ed. Heinz Handels, Katharina Breininger, Thomas Deserno, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2026. 162-168.
BibTeX: Download