294 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE30 papers
- Siemens Healthcare (United States)US9 papers
- Siemens (United States)US7 papers
- Technical University of MunichDE4 papers
- King's College LondonGB3 papers
- Siemens (Germany)DE3 papers
- Advanced Optical Technologies (United States)US2 papers
- Blekinge Institute of TechnologySE2 papers
- Centre d'Imagerie BioMedicaleCH2 papers
- Columbia UniversityUS2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Fondation Sophia AntipolisFR2 papers
6 papers · 1 filter
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
Celia Martín Vicario, Florian Kordon, Felix Denzinger +7
Flat panel computed tomography is used intraoperatively to assess the result of surgery. Due to workflow issues, the acquisition typically cannot be carried out in such a way that…
Appearance Learning for Image-based Motion Estimation in Tomography
Alexander Preuhs, Michael Manhart, Philipp Roser +5
In tomographic imaging, anatomical structures are reconstructed by applying a pseudo-inverse forward model to acquired signals. Geometric information within this process is usually…
Pitfalls in interventional X-ray organ dose assessment -- combined experimental and computational phantom study: application to prostatic artery embolization
Philipp Roser, Annette Birkhold, Xia Zhong +5
With X-ray radiation protection and dose management constantly gaining interest in interventional radiology, novel procedures often undergo prospective dose studies using anthropom…
Effects of Tissue Material Properties on X-Ray Image, Scatter and Patient Dose Determined using Monte Carlo Simulations
Philipp Roser, Annette Birkhold, Xia Zhong +4
With increasing patient and staff X-ray radiation awareness, many efforts have been made to develop accurate patient dose estimation methods. To date, Monte Carlo (MC) simulations…
Fully-automatic CT data preparation for interventional X-ray skin dose simulation
Philipp Roser, Annette Birkhold, Alexander Preuhs +6
Recently, deep learning (DL) found its way to interventional X-ray skin dose estimation. While its performance was found to be acceptable, even more accurate results could be achie…
Tenfold your photons -- a physically-sound approach to filtering-based variance reduction of Monte-Carlo-simulated dose distributions
Philipp Roser, Annette Birkhold, Alexander Preuhs +3
X-ray dose constantly gains interest in the interventional suite. With dose being generally difficult to monitor reliably, fast computational methods are desirable. A major drawbac…