Fig 1.
Two input 3D cochlea images of the same patient, CT as a fixed image (top) and MR as a moving image (middle).
The bottom image is the registered and fused 3D image, with magenta colour representing the MR part and green colour representing the CT part. Each image has 3 views, from left to right: axial, sagittal and coronal.
Fig 2.
The main components of image registration: Input images, cost function, optimiser, and a transform.
The virtual domain transform deals with the issue of different image resolution.
Fig 3.
Cochlea 3D models and two landmarks.
This model is generated in our lab by manual segmentation of a high quality μCT image using 3D Slicer software. The red colour represent scala media and scala vestibuli. The green colour represent the scala tympani.
Table 1.
Independent samples T-test for the RMSE of each method in comparison to ACIR-v3.
Table 2.
Independent samples T-test for the time of each method in comparison to ACIR-v3.
Fig 4.
Sample results of registration CBCT to CBCT (coronal views).
The figure shows image types, methods, and RMSE information. Magenta represents the fixed image and green represents the moving image.
Fig 5.
Sample results of registration CBCT to MDCT (axial views).
The figure shows image types, methods, and RMSE information. Magenta represents the fixed image and green represents the moving image.
Fig 6.
Sample results of registration CBCT to MR.
The figure shows the axial views with image types, methods, and RMSE information. Magenta represents the fixed image and green represents the moving image.
Fig 7.
Sample results of registration MR to MDCT.
The figure shows the axial views with image types, methods, and RMSE information. Magenta represents the fixed image and green represents the moving image.
Fig 8.
Results chart, the average RMSE, time, and robustness of each tested method grouped based on image-modalities.
The robustness is computed based on Eq (8).