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B06 - Compensating motion and model inexactness in nano-CT and local tomography

PIs: Jun.-Prof. Dr. Anne Wald, Prof. Dr. Tim Salditt

Tomographic imaging with X-rays on the nano scale requires to overcome several hurdles such as a relative motion between the scanner and the object as well as the presence of unknown material outside the targeted region of interest. In this project, we aim at using simplified mathematical models and develop strategies to compensate the resulting modelling errors by means of analytical, statistical as well as data-driven techniques to obtain efficient and precise imaging algorithms specifically suited for nano-CT imaging.

PhD students:
Björn Ehlers

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