Title | 2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions |
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Authors | Hu, Y., Bonmati Coll, E., Gibson, E., Hipwell, J.H., Hawkes, D.J., Bandula, S., Pereira, S.P. and Barratt, D.C. |
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Type | Conference paper |
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Abstract | We describe a fast analytical method to estimate landmark-based 2D-3D registration accuracy to aid the planning of pancreatobiliary interventions in which ERCP images are combined with information from diagnostic 3D MR or CT images. The method analytically estimates a target registration error (TRE), accounting for errors in the manual selection of both 2D- and 3D landmarks, that agrees with Monte Carlo simulation to within 4.5 ± 3.6 % (mean ± SD). We also show how to analytically estimate a planning uncertainty incorporating uncertainty in patient positioning, and utilise it to support ERCP-guided procedure planning by selecting the optimal patient position and X-ray C-arm orientation that minimises the expected TRE. Simulated- and derived planning uncertainties agreed to within 17.9 ± 9.7 % when the root-mean-square error was less than 50°. We demonstrate the feasibility of this approach on clinical data from two patients. |
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Year | 2016 |
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Conference | Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. MICCAI 2016 |
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Publisher | Springer |
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Publication dates |
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Published online | 02 Oct 2016 |
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Journal | Lecture Notes in Computer Science |
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Journal citation | 9900, pp. 516-524 |
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ISSN | 0302-9743 |
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ISBN | 9783319467191 |
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| 9783319467207 |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-46720-7_60 |
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