A novel phase retrieval method for continuously acquired grating-based dark-field computed tomography using Tikhonov regularization

Grating-based dark-field and phase x-ray imaging aims to extend conventional attenuation-based x-ray imaging by revealing additional microstructural information. A big challenge for translating grating-based dark-field computed tomography to medical applications lies in minimizing the data acquisition time. While a continuously moving detector is ideal, it prohibits conventional phase retrieval and stepping techniques that require multiple projections under the same angle with different grating positions. In this work, we introduce a new algorithm that improves phase retrieval for continuously acquired data and mitigates movement-based cross-talk artifacts.