Author

M. Brockmann

3 papers indexed here

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Open access Sep 2026

Deep Learning Reconstruction Enables Substantial Radiation Dose Reduction in Ultra-High-Resolution Temporal Bone CT: a Body Donor Study.

PURPOSE Deep learning reconstruction may enable substantial radiation dose reduction in ultra-high-resolution (UHR) temporal bone CT, but its performance across clinically relevant dose levels remains insufficiently defined. This study evaluated vendor-specific deep learning reconstruction (DLR) compared with hybrid it...

Lavinia A. Brockstedt, Sebastian Altmann, Suam Kim et al. · Clinical Neuroradiology · 0 citations

Sep 2026

Deep Learning-Based Distortion Correction for Brain Diffusion-weighted Imaging: A Prospective Comparison With Single-shot and Readout-segmented Echo-planar Imaging.

BACKGROUND Single-shot echo-planar imaging DWI (ss-EPI DWI) is susceptible to geometric distortions near air-tissue interfaces, limiting diagnostic accuracy. Multishot readout-segmented DWI (RESOLVE DWI) mitigates these artifacts but requires longer acquisition times. This study evaluated whether ss-EPI DWI with a deep...

M. Khalaf, Sebastian Altmann, Andrea Kronfeld et al. · Investigative Radiology · 0 citations

Open access Sep 2026

Deep Learning-Based Image Reconstruction in Ultra-High-Resolution CT Venography for Improved Visualization of Cerebral Venous Drainage.

PURPOSE To evaluate the diagnostic confidence and image quality of deep-learning-enhanced ultra-high-resolution CT venography (CTV) in venous neurovascular imaging, compared with hybrid iterative reconstruction of ultra-high-resolution CT datasets and normal-resolution CTV. METHODS This retrospective, single-center s...

Sebastian Steinmetz, Anna-Luisa Grebe, M. Kondova et al. · Clinical Neuroradiology · 0 citations