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Preprint Oct 2026

Evaluation of attenuation-based simulated X-ray images for image-guided radiotherapy

In image-guided radiation therapy (IGRT), in-room X-rays are often used for patient positioning and monitoring, however, usually default imaging settings are utilized for each indication. Obtaining patient-specific imaging settings before treatment is achievable using simulated X-rays, which can facilitate IGRT workflo...

Hannah Jungreuthmayer, Julius Arnold, A. Renner et al. · 0 citations
Aug 2026

Physics in Medicine & Biology

Objective. Supervised synthetic computed tomography (sCT) generation from cone-beam computed tomography (CBCT) requires spatially registered training pairs, yet perfect registration between separately acquired scans is unattainable. This registration bias propagates into trained models and corrupts intensity-based eval...

L. Zimmermann, Michael Rauter, Martin Buschmann et al. · 0 citations
Open access Aug 2026

Eliminating Registration Bias in Synthetic CT Generation using a physics-based simulation framework for pelvic anatomy.

OBJECTIVE Supervised synthetic computed tomography (sCT) generation from cone-beam CT (CBCT) requires spatially registered training pairs, yet perfect registration between separately acquired scans is unattainable. This registration bias propagates into trained models and corrupts intensity-based evaluation, so higher...

L. Zimmermann, Michael Rauter, Martin Buschmann et al. · 0 citations

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