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Registering CBCT and fluoroscopy images to determine electrode placement in the human cochlea

Key Investigators

• Attila Nagy (University of Szeged, Hungary)
• Paolo Zaffino (Magna Graecia University of Catanzaro, Italy)
• Attila Tanács (University of Szeged, Hungary)
• András Lasso (Queen's University, Canada, ON)
• Roland Nagy (remote) (University of Szeged, Hungary)
• Ádám Perényi (remote) (University of Szeged, Hungary)

Project Description

Cochlear implant electrode placeemnt is exteremely important during cochlear surgery, as inserting it as close as possible to the modiolus produces the best results (lower energy consumption of the device, better hearing outcomes, speec recognition ans so on). But it is an imaging nightmare: imeging the inner ear isn’t that easy, and doing so with metal inserted is even more challenging. One of the best option is to use fluroscopy images, but then we lose the 3rd dimension. If we could register the two modalities, we could have the desired accuracy and extend the measurements into 3D.

Objective

Brainstorm about ideas, and maybe create a prototype using example data.

• Collect ideas
• Collect even more ideas
• Hopefully create a prototype

Approach and Plan

• Examine the CBCT and fluoroscopy images and identify the points. One for sure is that the CBCT images have bad distances, as usual…
• Try to overlay/register fluoroscopy images using anatomical landmarks

Progress and Next Steps

With some sample data we tried the new Virtual CathLab module. It seems that it has most of the functionality we need to bring our work further. Also, created a small anonymization Slicer extension that will fit our later workflow.

1. Describe specific steps you have actually done.
   • Checked the Virtual CathLab module.
   • Successfully loaded our own imaing CBCT data into it, and we had similar results as our fluoroscopy images
   • Createn a batch anoymization extension

Illustrations

Progress: Anonymization moudle UI:

In case the embedded video doesn’t work, here is the link to YouTube: https://www.youtube.com/watch?v=L2dJuvdan_0

Anonymization moudle UI:

Example module usage with our own cochlear implant CBCT data:

Background and References

No response