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Related Concept Videos

The Cochlea01:13

The Cochlea

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The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Related Experiment Video

Updated: Apr 27, 2026

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
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Overcoming Nonlinear Partial Volume Effects in Known-Component Reconstruction of Cochlear Implants.

J W Stayman1, H Dang1, Y Otake1

  • 1Dept. of Biomedical Eng., Johns Hopkins University, Baltimore, MD USA 21205.

Proceedings of Spie--The International Society for Optical Engineering
|June 21, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a modified known-component reconstruction (KCR) method to reduce nonlinear partial volume (NLPV) artifacts in medical imaging. The technique improves image quality and accuracy for imaging cochlear implants.

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Area of Science:

  • Medical Imaging
  • Computational Imaging
  • Image Reconstruction

Background:

  • Nonlinear partial volume (NLPV) effects significantly impact tomographic imaging of objects with high attenuation differences and fine details, such as cochlear implants.
  • Traditional methods to mitigate NLPV artifacts require substantial computational resources and memory.

Purpose of the Study:

  • To develop and validate a modified known-component reconstruction (KCR) approach to effectively eliminate NLPV artifacts.
  • To improve image quality and implant position accuracy in medical imaging scenarios.

Main Methods:

  • Leveraged the model-based known-component reconstruction (KCR) approach, separating known implant components from unknown anatomy.
  • Modified KCR to model projections at high spatial resolution for the implant while limiting resolution for the anatomy.
  • Applied the technique to the specific scenario of imaging cochlear implants.

Main Results:

  • The modified KCR approach successfully minimized NLPV artifacts.
  • Demonstrated significant improvements in overall image quality.
  • Achieved accurate estimation of cochlear implant positions.

Conclusions:

  • The modified KCR technique offers an effective solution for NLPV artifacts in tomographic imaging.
  • This method enhances image fidelity and positional accuracy, particularly for complex medical devices like cochlear implants.