Abstract
We have developed a novel model-to-image registration technique which aligns a 3-dimensional model of vasculature with two semiorthogonal fluoroscopic projections. Our vascular registration method is used to intra-operatively initialize the alignment of a catheter and a preoperative vascular model in the context of image-guided TIPS (Transjugular, Intrahepatic, Portosystemic Shunt formation) surgery. Registration optimization is driven by the intensity information from the projection pairs at sample points along the centerlines of the model. Our algorithm shows speed, accuracy and consistency given clinical data.
Publication types
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Evaluation Study
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Research Support, N.I.H., Extramural
MeSH terms
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Algorithms
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Artificial Intelligence
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Computer Simulation
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Hepatic Artery / diagnostic imaging
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Hepatic Artery / surgery
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Hepatic Veins / diagnostic imaging
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Hepatic Veins / surgery
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Humans
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Imaging, Three-Dimensional / methods*
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Models, Biological*
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Pattern Recognition, Automated / methods
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Portasystemic Shunt, Transjugular Intrahepatic / methods*
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Radiographic Image Enhancement / methods
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Radiographic Image Interpretation, Computer-Assisted / methods*
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Reproducibility of Results
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Sensitivity and Specificity
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Subtraction Technique*
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Surgery, Computer-Assisted / methods*
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Tomography, X-Ray Computed / methods*
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User-Computer Interface