Abstract #1513

Synthetic T2-weighted fat sat delivers valuable information on spine pathologies: multicenter validation of a Generative Adversarial Network

Sarah Schlaeger¹, Katharina Drummer¹, Malek El Husseini¹, Florian Kofler^1,2,3, Nico Sollmann^1,4,5, Severin Schramm¹, Claus Zimmer¹, Dimitrios C. Karampinos⁶, Benedikt Wiestler¹, and Jan S. Kirschke¹

¹Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, ²Department of Informatics, Technical University of Munich, Munich, Germany, ³TranslaTUM - Central Insitute for Translational Cancer Research, Technical University of Munich, Munich, Germany, ⁴TUM-NeuroImaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, ⁵Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany, ⁶Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany

Synopsis

Generative Adversarial Networks (GANs) can synthesize missing Magnetic Resonance (MR) contrasts from existing MR data. In spine imaging, sagittal T2-w fat sat (fs) sequences are an important additional MR contrast next to conventional T1-w and T2-w sequences. In this study, the diagnostic performance of a GAN-based, synthetic T2-w fs is evaluated in a multicenter dataset. By comparing the synthetic T2-w fs with its true counterpart regarding ability to detect spinal pathologies not seen on T1-w and non-fs T2-w, diagnostics agreement, and image and fs quality our work shows that a synthetic T2-w fs delivers valuable information on spine pathologies.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.