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SHR Neuro Cancer Cardio Lipid Metab Microb

Micu, R; Jakobs, TF; Urschler, M; Navab, N.
A new registration/visualizat ion paradigm for CT-fluoroscopy guided RF liver ablation
LECT NOTES COMPUT SC. 2006; 4190: 882-890. Doi: 10.1007/11866565_108
Web of Science PubMed FullText FullText_MUG

 

Co-authors Med Uni Graz
Urschler Martin
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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.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Artificial Intelligence -
Catheter Ablation - methods
Fluoroscopy - methods
Hepatectomy - methods
Humans -
Imaging, Three-Dimensional - methods
Liver - radiography Liver - surgery
Liver Neoplasms - radiography Liver Neoplasms - surgery
Pattern Recognition, Automated - methods
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Reproducibility of Results -
Sensitivity and Specificity -
Subtraction Technique -
Surgery, Computer-Assisted - methods
Tomography, X-Ray Computed - methods
User-Computer Interface -

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