Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy
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arXiv
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| Format: | Preprint |
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2023
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| _version_ | 1866917599728631808 |
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| author | Thies, Mareike Wagner, Fabian Gu, Mingxuan Mei, Siyuan Huang, Yixing Pechmann, Sabrina Aust, Oliver Weidner, Daniela Neag, Georgiana Uderhardt, Stefan Schett, Georg Christiansen, Silke Maier, Andreas |
| author_facet | Thies, Mareike Wagner, Fabian Gu, Mingxuan Mei, Siyuan Huang, Yixing Pechmann, Sabrina Aust, Oliver Weidner, Daniela Neag, Georgiana Uderhardt, Stefan Schett, Georg Christiansen, Silke Maier, Andreas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_00449 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy Thies, Mareike Wagner, Fabian Gu, Mingxuan Mei, Siyuan Huang, Yixing Pechmann, Sabrina Aust, Oliver Weidner, Daniela Neag, Georgiana Uderhardt, Stefan Schett, Georg Christiansen, Silke Maier, Andreas Computer Vision and Pattern Recognition 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. |
| title | Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2303.00449 |