A new registration/visualization paradigm for CT-fluoroscopy guided RF liver ablation. Micu, R., Jakobs, T., F., Urschler, M., & Navab, N. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 9(Pt 1):882-90, Springer, Berlin, Heidelberg, 2006. ![A new registration/visualization paradigm for CT-fluoroscopy guided RF liver ablation. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex 2D-3D slice-to-volume registration for abdominal organs like liver is difficult due to the breathing motion and tissue deformation. The purpose of our approach is to ease CT-fluoroscopy (CT-fluoro) based needle insertion for the Radiofrequency Liver Ablation procedure using high resolution contrasted preoperative data. In this case, low signal-to-noise ratio, absence of contrast and additional presence of needle in CT-fluoro makes it difficult to guarantee the solution of any deformable slice-to-volume registration algorithm. In this paper, we first propose a method for creating a set of ground truth (GT) simulation data based on a non-linear deformation of the CT-fluoro volume obtained from real patients. Second, we split the CT-fluoro image and apply intensity based rigid and affine registration to each section. We then propose a novel solution, which consists of intuitive visualization sequences of optimal sub-volumes of preinterventional data based on the registration results. Experiments on synthetic and real patient data and direct feedback of two interventionalists validate our alternative approach.
@article{
title = {A new registration/visualization paradigm for CT-fluoroscopy guided RF liver ablation.},
type = {article},
year = {2006},
pages = {882-90},
volume = {9},
websites = {http://link.springer.com/10.1007/11866565_108,http://www.ncbi.nlm.nih.gov/pubmed/17354974},
publisher = {Springer, Berlin, Heidelberg},
city = {Copenhagen, DK},
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created = {2015-02-18T08:30:19.000Z},
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last_modified = {2019-11-08T01:40:43.938Z},
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notes = {Poster},
folder_uuids = {0ec41d70-75f1-4a99-820b-0a83ccc37f54},
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abstract = {2D-3D slice-to-volume registration for abdominal organs like liver is difficult due to the breathing motion and tissue deformation. The purpose of our approach is to ease CT-fluoroscopy (CT-fluoro) based needle insertion for the Radiofrequency Liver Ablation procedure using high resolution contrasted preoperative data. In this case, low signal-to-noise ratio, absence of contrast and additional presence of needle in CT-fluoro makes it difficult to guarantee the solution of any deformable slice-to-volume registration algorithm. In this paper, we first propose a method for creating a set of ground truth (GT) simulation data based on a non-linear deformation of the CT-fluoro volume obtained from real patients. Second, we split the CT-fluoro image and apply intensity based rigid and affine registration to each section. We then propose a novel solution, which consists of intuitive visualization sequences of optimal sub-volumes of preinterventional data based on the registration results. Experiments on synthetic and real patient data and direct feedback of two interventionalists validate our alternative approach.},
bibtype = {article},
author = {Micu, Ruxandra and Jakobs, Tobias F. and Urschler, Martin and Navab, Nassir},
editor = {Larsen, Rasmus and Nielsen, Mads and Sporring, Jon},
doi = {10.1007/11866565_108},
journal = {Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
number = {Pt 1}
}
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The purpose of our approach is to ease CT-fluoroscopy (CT-fluoro) based needle insertion for the Radiofrequency Liver Ablation procedure using high resolution contrasted preoperative data. In this case, low signal-to-noise ratio, absence of contrast and additional presence of needle in CT-fluoro makes it difficult to guarantee the solution of any deformable slice-to-volume registration algorithm. In this paper, we first propose a method for creating a set of ground truth (GT) simulation data based on a non-linear deformation of the CT-fluoro volume obtained from real patients. Second, we split the CT-fluoro image and apply intensity based rigid and affine registration to each section. We then propose a novel solution, which consists of intuitive visualization sequences of optimal sub-volumes of preinterventional data based on the registration results. 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