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Dr.-Ing. Anja Borsdorf

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

The vision of my work is to develop edge-preserving noise reduction methods for the use in CT in order to achieve a reduction of radiation dose

Current projects and research interests

  • Edge-preserving noise reduction:

    • Wavelet filtering
    • Diffusion filtering
    • Bilateral filtering

  • Evaluation of image quality:

    • Qualitative and quantitative quality characteristics
    • Tools for statistical evaluation of real clinical data

  • Computed Tomography:

    • Adaptation of noise reduction methods to the special requirements in CT
    • Noise estimation in CT