Lina Felsner, M. Sc.
- Job title: Researcher
- Organization: Department of Computer Science
- Working group: Chair of Computer Science 5 (Pattern Recognition)
- Phone number: +49 9131 85 27894
- Fax number: +49 9131 85 27826
- Email: lina.felsner@fau.de
- Website: https://lme.tf.fau.de/person/felsner/
- Address: Martenstraße 3.
91058 ErlangenRoom 09.159
Member of the IMPRS-PL
- Since 10/2017:
Ph.D Student at Pattern Recognition Lab, Friedrich-Alexander University - 04/2015 – 07/2017:
M.Sc in Biomedical Engineering at Friedrich-Alexander University - 10/2011 – 09/2015:
B.Sc in Biomedical Engineering at Friedrich-Alexander University - 08/2004 – 07/2011:
Abitur, Herder Gymnasium Berlin, with mathematical and scientific profile
International Experience:
- 10/2014 – 04/2015:
Semester abroad at the Human Performance Lab, University of Calgary, Canada - 10/2013 – 04/2014:
Semester abroad at Aalto University, Helsinki, Finland
No projects found.
Phase-Sensitive Region-of-Interest Computed Tomography
X-Ray Phase-Contrast Imaging can provide high soft-tissue contrast. Unfortunately, all grating-based systems are limited by the grating sizes of a few centimeters. This leads to truncation in the projection images and therefore artifacts in the reconstruction.
This projects has the aim to find reconstruction algorithms to correct for phase truncation artifacts, and therefore to obtain quantitative correct phase values.
A 3-D Projection Model for X-ray Dark-field Imaging
The X-ray dark-field signal can be measured with a grating-based
Talbot-Lau interferometer. Interestingly, the signal is a function of
the relative orientation of the sample, the X-ray beam direction,
and the direction of the interferometer sensitivity.
Talbot-Lau interferometer. Interestingly, the signal is a function of
the relative orientation of the sample, the X-ray beam direction,
and the direction of the interferometer sensitivity.
In this project we aim at describing a very general 3-D dark-field projection model.
2020
Journal Articles
- , , , :
Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography
In: IEEE Transactions on Computational Imaging (2020), p. 625 - 639
ISSN: 2333-9403
DOI: 10.1109/TCI.2020.2964217
BibTeX: Download
2019
Journal Articles
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A 3-D Projection Model for X-ray Dark-field Imaging
In: Scientific Reports 9 (2019)
ISSN: 2045-2322
Open Access: https://www.nature.com/articles/s41598-019-45708-9
BibTeX: Download
Conference Contributions
- , , , , , :
On the Characteristics of Helical 3-D X-ray Dark-field Imaging
Bildverarbeitung für die Medizin (BVM 2019) (Lübeck, March 17, 2019 - March 19, 2019)
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Felsner19-OTC.pdf
BibTeX: Download
2018
Authored Books
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X-ray Phase Contrast: Research on a Future Imaging Modality
Cham: Springer, 2018
(Lecture Notes in Computer Science book series (LNCS), Vol.11111 LNCS)
ISBN: 978-3-319-96519-2
DOI: 10.1007/978-3-319-96520-8_9
BibTeX: Download
Book Contributions
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X-ray Phase Contrast: Research on a Future Imaging Modality
In: Medical Imaging Systems - An Introductory Guide, 2018, p. 191--205
DOI: 10.1007/978-3-319-96520-8_9
BibTeX: Download
Conference Contributions
- , , , , , , , , , , :
Phase-Sensitive Region-of-Interest Computed Tomography
21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 (Granada, September 17, 2018 - September 19, 2018)
In: 21st International Conference on Medical Image Computing and Computer Assisted Intervention 2018
DOI: 10.1007/978-3-030-00928-1_16
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Felsner18-PRC.pdf
BibTeX: Download
Miscellaneous
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A 3-D Projection Model for X-ray Dark-field Imaging
(2018), Article No.: arXiv:1811.04457
Open Access: https://arxiv.org/pdf/1811.04457
URL: https://arxiv.org/pdf/1811.04457
BibTeX: Download
(Techreport)
2017
Conference Contributions
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Epipolar consistency conditions for motion correction in weight-bearing imaging
Bildverarbeitung für die Medizin 2017 Algorithmen Systeme Anwendungen (Bildverarbeitung für die Medizin 2017) (Heidelberg, March 12, 2017 - March 14, 2017)
DOI: 10.1007/978-3-662-54345-0_47
BibTeX: Download - , , , :
Motion Estimation in Rotational Angiography with alpha–Expansion Moves
IEEE Nuclear Science Symposium and Medical Imaging Conference (Atlanta, October 21, 2017 - October 28, 2017)
BibTeX: Download
Vorlesung (VORL)
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Medical Image Processing for Interventional Applications (VHB-Kurs)
- Time and place on appointment
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Medical Image Processing for Diagnostic Applications (VHB-Kurs)
- Time and place on appointment
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Pattern Recognition
- Thu 10:15-11:45, Room H4
- Fri 10:15-11:45, Room H4
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Pattern Recognition
- Thu 10:15-11:45, Room H4
- Fri 10:15-11:45, Room H4
Kolloquium (KO)
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Kolloquium Inverse Problems and Applications
- Fri 10:00-12:00, Room 09.150
Übung (UE)
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Pattern Recognition Programming
- Wed 16:00-18:00, Room 02.151-113 a CIP
- Wed 16:00-18:00, Room 02.151-113 b CIP
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Pattern Recognition Programming
- Wed 16:00-18:00, Room 02.151-113 a CIP
- Wed 16:00-18:00, Room 02.151-113 b CIP