|Title||2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions|
|Authors||Hu, Y., Bonmati Coll, E., Gibson, E., Hipwell, J.H., Hawkes, D.J., Bandula, S., Pereira, S.P. and Barratt, D.C.|
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.
|Conference||Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. MICCAI 2016|
|Published online||02 Oct 2016|
|Journal||Lecture Notes in Computer Science |
|Journal citation||9900, pp. 516-524|
|Digital Object Identifier (DOI)||https://doi.org/10.1007/978-3-319-46720-7_60|