%0 Conference Paper %1 noauthororeditor %A Herl, Gabriel %A Rettenberger, Simon %A Hiller, Jochen %A Sauer, Tomas %B Proceedings of the 8th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2018) %D 2018 %K gher %T Metal artifact reduction by fusion of CT scans from different positions using the unfiltered backprojection %X Abstract Metal objects or metal parts in an object are still a major problem of X-ray computed tomography (CT) because of so called metal artifacts. We propose a new method – a multipositional data fusion – for automatically fusing multiple CT volumes from different positions to reduce these metal artifacts. After scanning a specimen several times at different positions and reconstruction of every scan (e.g. by the filtered backprojection), we also perform an unfiltered backprojection. Based on the assumption that metal artifacts occur the most wherever X-rays are attenuated a lot, the unfiltered backprojection is used to autonomously estimate the likelihood of metal artifacts in every voxel of every scan. The different volumes are registered and then fused by weighted sum preferring the voxels with low values in the unfiltered backprojection results. In our tests on real objects, our method fully automatically created optimized volumes with significantly less metal artifacts. The multipositional data fusion was compared to the commercially multi spectra fusion of Werth Messtechnik GmbH and outperformed it in one of the use cases.

@inproceedings{noauthororeditor, abstract = {Abstract Metal objects or metal parts in an object are still a major problem of X-ray computed tomography (CT) because of so called metal artifacts. We propose a new method – a multipositional data fusion – for automatically fusing multiple CT volumes from different positions to reduce these metal artifacts. After scanning a specimen several times at different positions and reconstruction of every scan (e.g. by the filtered backprojection), we also perform an unfiltered backprojection. Based on the assumption that metal artifacts occur the most wherever X-rays are attenuated a lot, the unfiltered backprojection is used to autonomously estimate the likelihood of metal artifacts in every voxel of every scan. The different volumes are registered and then fused by weighted sum preferring the voxels with low values in the unfiltered backprojection results. In our tests on real objects, our method fully automatically created optimized volumes with significantly less metal artifacts. The multipositional data fusion was compared to the commercially multi spectra fusion of Werth Messtechnik GmbH and outperformed it in one of the use cases. }, added-at = {2019-02-12T12:53:23.000+0100}, author = {Herl, Gabriel and Rettenberger, Simon and Hiller, Jochen and Sauer, Tomas}, biburl = {https://www.bibsonomy.org/bibtex/2f541dd34d81f461a5d04fdc5f86bca5a/baywiss1}, booktitle = {Proceedings of the 8th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2018)}, interhash = {c4b18e9407cb5bca830f5c5d0531d54f}, intrahash = {f541dd34d81f461a5d04fdc5f86bca5a}, keywords = {gher}, timestamp = {2019-03-25T12:05:31.000+0100}, title = {Metal artifact reduction by fusion of CT scans from different positions using the unfiltered backprojection }, year = 2018 }