Magdalena Herbst
Siemens Healthcare (United States), Siemens Healthineers (Germany)
Papers
12
Total Citations
66
H-Index
5
About
Magdalena Herbst is a medical imaging researcher specializing in advanced X-ray and cone-beam computed tomography (CBCT) systems, with a particular focus on robotic and twin-robotic imaging platforms for orthopedic and musculoskeletal applications. Her work centers on optimizing acquisition protocols, scan trajectories, and image quality for clinically challenging scenarios, including weight-bearing spine imaging and extremity CT. Among her most notable contributions is her investigation of tilted rotation axis CBCT imaging, which exploits the flexibility of robotic X-ray systems to reduce scatter and noise — her most cited work with 18 citations. She has also made significant strides in slot-scanning tomosynthesis, demonstrating its potential to reduce radiation dose while maintaining diagnostic image quality for orthopedic examinations. Her research into tin prefiltration, dual-energy bone densitometry, and bone marrow edema detection highlights her commitment to translating technical innovations into practical clinical tools. Herbst's work on misalignment compensation and trajectory optimization addresses real-world engineering constraints that limit CBCT performance, advancing the feasibility of ultra-high-resolution and fast acquisitions. Collectively, her publications reflect a rigorous, systems-level approach to improving diagnostic imaging — making her research essential reading for engineers, physicists, and clinicians working at the intersection of robotic radiology and quantitative imaging.
Research Focus
Key Achievements
Top Papers
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- 7Slot‐scan dual‐energy bone densitometry using motorized X‐ray systems4 citations · 2021
- 8Optimization of cone-beam CT scan orbits for cervical spine imaging3 citations · 2019
- 9Upright Tomosynthesis of the Lumbar Spine2 citations · 2023
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