Alexander Preuhs
Dr.-Ing. Alexander Preuhs
Academic CV
Education
- 05/2020 – present:
Researcher, Siemens Healthineers - 03/2017 – 04/2020:
PhD Student, Pattern Recognition Lab,
Friedrich-Alexander Universtität Erlangen-Nürnberg- Data-driven and model-based rigid motion compensation for cone-beam computed tomography
- 11/2014 – 03/2017:
M.Sc. in Medical Engineering, Major “Medical Image and Data-processing- Friedrich-Alexander Universtität Erlangen-Nürnberg
- 05/2011 – 11/2014:
B.Sc. in Medical Engineering - 09/2002 – 04/2011:
Abitur, Gymnasium Neubiberg, Munich
Professional Employment
- 06/2016 – 12/2016:
Master Student, Innovation at Siemens Healthineers - 05/2016 – 06/2016:
Internship, Patent Attorneys Kraus&Weisert - 01/2016 – 06/2016:
Working Student, DFG Project “Flatdetector-CT Consistency” at Pattern Recognition Lab, FAU - 11/2014 – 05/2016:
Working Student, Innovation at Siemens Healthineers - 11/2013 – 11/2014:
Executive Board, Krakadu e.V. - 06/2013 – 07/ 2013:
Internship, Siemens Healthineers, X-ray Tube Manufacturing - 02/2013 – 03/2014:
Internship, University Hospital, Erlangen
Projects
Motion Compensation for DynaCT Acquisitions
With modern flat panel C-arm systems, soft tissue imaging is possible during intervention. This can be of high potential in the field of neuroradiologic interventions, when a stroke is to be classified as either ischemic or hemorrhagic. Within the interventional stroke therapy (Mechanical Thrombectomy), DynaCT has the potential to substitute CT and MRT as standard diagnostic modalities. By this substitution, imaging and intervention could be done within one room, making the therapy much faster and thus increasing the quality of stroke therapy.
To reach this goal, the detectability of cerebral bleedings under DynaCT acquisitions must be as reliable as it is using CT. The acquisition of projection data for reconstruction is performed by rotating the C-arm around the patient. One rotation is typically performed in 20 seconds, increasing the risk of motion induced artifacts compared to CT, where a single rotation is performed in less than a second. Thus, a major drawback of DynaCT compared to CT is patient motion. This project aims at compensating motion artifacts in DynaCT acquisitions with the goal of a reliable detectability of cerebral bleedings.
Rigid Motion Creator
A python tool to generate rigid motion is available on GitHub.
Interactive Fan-Beam Reconstruction
An interactive python prototy
pe based on PyConrad for simulating fan-beam projections and fan-beam reconstruction is available on github. The reconstruction is performed analytically in a filtered-backprojection scheme.
Publications
2021
Journal Articles
Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography
In: IEEE Transactions on Medical Imaging (2021), Article No.: 9400411
ISSN: 0278-0062
DOI: 10.1109/TMI.2021.3072568
URL: https://ieeexplore.ieee.org/document/9400411
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Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging
In: IEEE Transactions on Medical Imaging (2021)
ISSN: 0278-0062
DOI: 10.1109/tmi.2021.3073091
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X-ray Scatter Estimation Using Deep Splines
In: IEEE Transactions on Medical Imaging (2021)
ISSN: 0278-0062
DOI: 10.1109/TMI.2021.3074712
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Conference Contributions
2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_38
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Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_62
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2020
Journal Articles
Appearance Learning for Image-based Motion Estimation in Tomography
In: IEEE Transactions on Medical Imaging (2020)
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.3002695
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XDose: toward online cross-validation of experimental and computational X-ray dose estimation
In: International Journal of Computer Assisted Radiology and Surgery (2020)
ISSN: 1861-6410
DOI: 10.1007/s11548-020-02298-6
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Book Contributions
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning
In: Anne L. Marte, lPurang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020, p. 199-208
ISBN: 9783030597122
DOI: 10.1007/978-3-030-59713-9_20
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Conference Contributions
Reconstruction of Voxels with Position- and Angle-Dependent Weightings
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, August 3, 2020 - August 7, 2020)
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DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, April 18, 2020 - April 23, 2020)
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Deep autofocus with cone-beam CT consistency constraint
Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
DOI: 10.1007/978-3-658-29267-6_34
URL: https://arxiv.org/pdf/1911.13162.pdf
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Field of View Extension in Computed Tomography Using Deep Learning Prior
Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
In: Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen 2020
DOI: 10.1007/978-3-658-29267-6_40
URL: https://arxiv.org/abs/1911.01178
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Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines
The 6th International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Regensburg (virtuell), August 3, 2020 - August 7, 2020)
Open Access: https://www.ct-meeting.org/data/ProceedingsCTMeeting2020.pdf
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Fully-automatic CT data preparation for interventional X-ray skin dose simulation
Bildverarbeitung für die Medizin: Algorithmen - Systeme - Anwendungen (Berlin, March 15, 2020 - March 17, 2020)
In: Informatik Aktuell Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen 2020
DOI: 10.1007/978-3-658-29267-6_26
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Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_24
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Thesis
Model-Based and Data-Driven Geometry Alignment for Angiography Systems (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/15429
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2019
Journal Articles
Symmetry prior for epipolar consistency
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02027-8
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Conference Contributions
Image Quality Assessment for Rigid Motion Compensation
MedNeurips (Vancouver, Canada, December 8, 2019 - December 14, 2019)
Open Access: https://arxiv.org/abs/1910.04254
URL: https://arxiv.org/abs/1910.04254
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Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
MICCAI MLMIR (Shenzhen, China, October 17, 2019 - October 17, 2019)
In: Knoll, Florian and Maier, Andreas and Rueckert, Daniel and Ye, Jong Chul (ed.): Machine Learning for Medical Image Reconstruction, Cham: 2019
DOI: 10.1007/978-3-030-33843-5_10
URL: https://link.springer.com/chapter/10.1007/978-3-030-33843-5_10
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Motion Gradients for Epipolar Consistency
15th International Meeting on Fully Three-Dimensional Image Reconstruction (Philadelphia, PA, June 2, 2019 - June 6, 2019)
DOI: 10.1117/12.2532319
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Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_29
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2018
Journal Articles
Viewpoint Planning for Quantitative Coronary Angiography (IJCARS)
In: International Journal of Computer Assisted Radiology and Surgery 13 (2018), p. 1159-1167
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1763-1
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-VPF1.pdf
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Conference Contributions
Double Your Views: Exploiting Symmetry in Transmission Imaging
Medical Image Computing and Computer Assisted Intervention (Granada, Spain)
In: Medical Image Computing and Computer Assisted Intervention 2018
URL: https://arxiv.org/pdf/1803.10650.pdf
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Fast Epipolar Consistency without the Need for Pseudo Matrix Inverses
CT-Meeting (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-FEC.pdf
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Viewpoint Planning for Quantitative Coronary Angiography
CARS (Berlin)
In: Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition, Berlin: 2018
DOI: 10.1007/s11548-018-1766-y
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-VPF.pdf
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2015
Conference Contributions
Over-Exposure Correction in CT Using Optimization-Based Multiple Cylinder Fitting
Bildverarbeitung für die Medizin 2015 (Lübeck)
In: Bildverarbeitung für die Medizin 2015 2015
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Preuhs15-OCI.pdf
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