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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:
  • Address:
    Martenstraße 3.
    91058 Erlangen
    Room 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.

In this project we aim at describing a very general 3-D dark-field projection model.

2020

Journal Articles

2019

Journal Articles

Conference Contributions

2018

Authored Books

Book Contributions

Conference Contributions

Miscellaneous

2017

Conference Contributions

Vorlesung (VORL)

Kolloquium (KO)

Übung (UE)