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A method for accurate and reproducible specimen alignment for insertion tests of cochlear implant electrode arrays.

Jakob CramerGeorg Böttcher-RebmannThomas LenarzThomas S Rau
Published in: International journal of computer assisted radiology and surgery (2023)
In this work, we present a new method, which enables automated calculation and creation of a ready-to-print pose setting adapter for alignment of cochlear specimens in insertion test setups. The approach is characterized by a high level of accuracy and reproducibility in controlling the insertion trajectory. Therefore, it enables a higher degree of standardization in force measurement when performing ex vivo insertion tests and thereby improves reliability in electrode testing.
Keyphrases
  • machine learning
  • high throughput
  • deep learning
  • carbon nanotubes
  • mass spectrometry
  • hearing loss
  • solid state