ArXiv Preprint
Intravital X-ray microscopy (XRM) in preclinical mouse models is of vital
importance for the identification of microscopic structural pathological
changes in the bone which are characteristic of osteoporosis. The complexity of
this method stems from the requirement for high-quality 3D reconstructions of
the murine bones. However, respiratory motion and muscle relaxation lead to
inconsistencies in the projection data which result in artifacts in
uncompensated reconstructions. Motion compensation using epipolar consistency
conditions (ECC) has previously shown good performance in clinical CT settings.
Here, we explore whether such algorithms are suitable for correcting
motion-corrupted XRM data. Different rigid motion patterns are simulated and
the quality of the motion-compensated reconstructions is assessed. The method
is able to restore microscopic features for out-of-plane motion, but artifacts
remain for more realistic motion patterns including all six degrees of freedom
of rigid motion. Therefore, ECC is valuable for the initial alignment of the
projection data followed by further fine-tuning of motion parameters using a
reconstruction-based method
Mareike Thies, Fabian Wagner, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke Christiansen, Andreas Maier
2023-03-01
