Flexible Multiplanar Viewer with Easy Adaptability for Expert Studies, Questionnaires, and Investigational Imaging Biomarker Assessment

Schlereth M, Fagni F, Schillinger M, Breininger K (2026)

Publication Type: Conference contribution

Publication year: 2026

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 321-327

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck DE

ISBN: 9783658510992

DOI: 10.1007/978-3-658-51100-5_63

Abstract

Assessing volumetric image data, both for investigational imaging biomarker assessment and for technical research, is a frequent task. Often, the focus is on comparing methods, e.g., for image quality improvement or examining image artifacts in a series of images. However, easily adaptable tools to assess several 3-D images in an organized sequence are limited. To address this gap, we developed a web-based, interactive multiplanar viewer with a focus on streamlined, guided image quality assessment through expert studies and questionnaires, as well as easy adaptability to study-specific requirements. The viewer has a modular structure, and users can add or remove different predefined modules as needed. In this work, we showcase the viewer for hand magnetic resonance imaging (MRI) assessment. To evaluate the usability of our presented graphical user interface (GUI), we performed a small user study across medical imaging and clinical experts. They rated the system as very intuitive and flexible, and highlighted its generalizability to different settings and images. We release our code and application on github.com/MajaSchle/dash_multiplanar.

Authors with CRIS profile

Maja Schlereth Department Artificial Intelligence in Biomedical Engineering (AIBE) Filippo Fagni Department of Medicine 3 – Rheumatology and Immunology Moritz Schillinger Juniorprofessur für Artificial Intelligence in Medical Imaging Katharina Breininger

Involved external institutions

Julius-Maximilians-Universität Würzburg DE Germany (DE)

How to cite

APA:

Schlereth, M., Fagni, F., Schillinger, M., & Breininger, K. (2026). Flexible Multiplanar Viewer with Easy Adaptability for Expert Studies, Questionnaires, and Investigational Imaging Biomarker Assessment. In Heinz Handels, Katharina Breininger, Thomas Deserno, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 321-327). Lübeck, DE: Springer Science and Business Media Deutschland GmbH.

MLA:

Schlereth, Maja, et al. "Flexible Multiplanar Viewer with Easy Adaptability for Expert Studies, Questionnaires, and Investigational Imaging Biomarker Assessment." 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. 321-327.

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