registration of interventional x-ray data to 3D CT for motion estimation, patient positioning or image guidance
(note: 2D image should be given as 3D image with size = 1 in 3rd dimension ).
2D-3D registration performance was compared of the combinations of seven optimization methods:
* Regular step gradient descent * Nelder-Mead * Powell-Brent * Quasi-Newton * Nonlinear conjugate gradient * Simultaneous perturbation stochastic approximation * Evolution strategy
and three similarity measures:
* Gradient Difference * Normalized Gradient Correlation * Pattern Intensity.
The similarity measures were added to
elastix and are dedicated for 2D-3D use only.
Experiments were performed on patient data sets that were obtained during cerebral interventions. Various component combinations were evaluated on registration accuracy, capture range, and registration time. The results showed that for the same similarity measure, different registration accuracies and capture ranges are obtained when different optimization methods are used. Overall, it could be concluded that the Powell-Brent is a reliable optimization method for intensity-based 2D-3D registration of x-ray images to CBCT, in terms of accuracy, capture range, and computation time.
For parameter files see the Elastix Model Zoo repository on GitHub.
elastix version: 4.5
Parameter files using a single x-ray image are indicated with '_singleImage.txt'.
Command line call using a single x-ray image:
elastix -f xrayImage.mhd -fMask xrayMask.mhd -m volumeData.mhd -p par0013Powel_NGC_singleImage.txt -out outputdir
Parameter files using multiple x-ray images (note: example shows 2, but more fixed images are accepted) are indicated with '_twoImages.txt'
Command line call using two x-ray images:
elastix -f0 xrayImage1.mhd -f1 xrayImage2.mhd -f0Mask xrayMask1.mhd -f1Mask xrayMask1.mhd -m volumeData.mhd -p par0013Powell_NGC_twoImages.txt -out outputdir
These registration are described in the publication:
I.M.J. van der Bom, S. Klein, M. Staring, R. Homan, L.W. Bartels, J.P.W. Pluim, "Evaluation of optimization methods for intensity-based 2D-3D registration in X-ray guided interventions", in: SPIE Medical Imaging: Image Processing, SPIE Press, vol. 7962, pp. 796223-1 - 796223-15, 2011.
 I.M.J. van der Bom, S. Klein, M. Staring, R. Homan, L.W. Bartels, J.P.W. Pluim, "Evaluation of optimization methods for intensity-based 2D-3D registration in X-ray guided interventions", in: SPIE Medical Imaging: Image Processing, SPIE Press, vol. 7962, pp. 796223-1 - 796223-15, 2011.
© 2020 Viktor van der Valk