Detection of Electrode Proximity to the Cochlea Wall Based on Impedance Variation: a Preliminary Computational Study

Salkim, Enver; Zamani, Majid; Jiang, Dai; Demosthenous, Andreas

doi:10.5013/ijssst.a.21.02.13

Cited by 6 publications

(7 citation statements)

References 12 publications

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“…Model 2 and Model 3 evaluate the centerline tracing algorithm against the "golden standard," i.e., a hand-traced centerline by clinicians in realistic reconstructed cochlea models. The realistic cochlea models were reconstructed using micro-CT images of 512 × 512 pixels per slice databases from the Royal National Throat, Nose and Ear Hospital, and a manually defined ground-truth was used to quantify traversal performance [39]. [31], Active contour [32]- [35] and Supercylinder.…”

Section: Results and Validationmentioning

confidence: 99%

“…In each tracing trial, centerline coordinates and width deviations are recorded and compared with the ground truth. The traced centerline coordinates present the optimal path for surgical purposes as studied in [39]- [40], where an impedance model estimates the proximity of an inserted surgical electrode array to the cochlea wall.…”

Section: Results and Validationmentioning

confidence: 99%

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A Fast and Reliable Three-Dimensional Centerline Tracing: Application to Virtual Cochlear Implant Surgery

Zamani

Salkim

Saeed³

et al. 2020

IEEE Access

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This paper presents a rapid and unsupervised three-dimensional (3D) tubular structure tracing algorithm for the detection of safe trajectories in cochlear surgery. The algorithm utilizes a generalized 3D cylinder model which offers low-order parameterization, enabling low-cost recursive directional tubular boundary analysis and derivation of tubular statistics (i.e. centerline coordinates). Unlike previous work, the proposed algorithm circumvents excessive computation per voxel while enhancing angular centerline traversing efficiency which is critical in cochlear implant surgery navigation. To accomplish this, design considerations include: 1) accurate engineering of kernels used for border analysis, 2) modifying decisionmaking in identifying optimal tracing angle with homogeneity criterion, 3) reducing tubular change exploratory search cost through discrete convolution analysis, and 4) a cross-section calibration engine which suppresses centerline angular deviations as well as recording a history of geometrical changes while tracing. When evaluated on synthetic imagery mimicking cochlea structural complexity and real reconstructed cochlea models, it consistently produced accurate estimates of centerline coordinates and widths-heights in the presence of noise and spatial artefacts. Validation has shown that the centerline error for the proposed algorithm is below 6 pixels and the average traced pixel performance is 92.9% of the true centerline pixels on the examined cochlea models. By restricting the image analysis to the regions of interest, the proposed algorithm performs the rapid centerline tracing of the cochlea needed for real-time surgery (0.48 seconds per electrode insertion).

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Section: Results and Validationmentioning

confidence: 99%

Section: Results and Validationmentioning

confidence: 99%

A Fast and Reliable Three-Dimensional Centerline Tracing: Application to Virtual Cochlear Implant Surgery

Zamani

Salkim

Saeed³

et al. 2020

IEEE Access

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“…A transmitter sends sound signals to a receiver and stimulator implanted under the skin. They stimulate the auditory nerve with electrodes that have been threaded into the cochlea [13] .…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Cochlear Implant Technology: Past, Now and Future Directions

2023

Proceeding Book of 1st International Conference on Recent and Innovative Results in Engineering and Technology Icriret 2023

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The hearing loss occurred due to damage in the inner cochlea layer. The cochlear implant (CI) technology is an invasive neuromodulator that provides substantial auditory perception to those with severe or profound impaired hearing. There are significant improvements in CIs technology using various systems including robotic and optical communication systems. In this study, the evolution of the CIs was summarized and new technologies that are alternatively considered were highlighted. It was suggested that the development of cochlear implant technology has gone through a complicated process. Although many scientists from various disciplines have made joint efforts and achieved success, there are still many problems to be further studied to develop an optimal CIs system for people who suffer from hearing loss.

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“…Also, using conventional techniques it may not be feasible to conduct systematic comparison across individuals to examine the precise position of the electrode (Pile et al, 2017 ). Computational cochlea models have been utilized to simulate the current spread in the cochlea and provided useful insights (Malherbe et al, 2016 ; Salkim et al, 2020 ). Such models are implemented using the finite element method (FEM).…”

Section: Introductionmentioning

confidence: 99%

Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array

Salkim

Zamani

Jiang

et al. 2022

Front. Comput. Neurosci.

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The cochlear implantable neuromodulator provides substantial auditory perception to those with severe or profound impaired hearing. Correct electrode array positioning in the cochlea is one of the important factors for quality hearing, and misplacement may lead to additional injury to the cochlea. Visual inspection of the progress of electrode insertion is limited and mainly relies on the surgeon's tactile skills, and there is a need to detect in real-time the electrode array position in the cochlea during insertion. The available clinical measurement presently provides very limited information. Impedance measurement may be used to assist with the insertion of the electrode array. Using computational modeling of the cochlea, and its local tissue layers merging with the associated neuromodulator electrode array parameters, the impedance variations at different insertion depths and the proximities to the cochlea walls have been analyzed. In this study, an anatomical computational model of the temporal region of a patient is used to derive the relationship between impedance variations and the electrode proximity to the cochlea wall and electrode insertion depth. The aim was to examine whether the use of electrode impedance variations can be an effective marker of electrode proximity and electrode insertion depth. The proposed anatomical model simulates the quasi-static electrode impedance variations at different selected points but at considerable computation cost. A much less computationally intensive geometric model (~1/30) provided comparative impedance measurements with differences of <2%. Both use finite element analysis over the entire cross-section area of the scala tympani. It is shown that the magnitude of the impedance varies with both electrode insertion depth and electrode proximity to the adjacent anatomical layers (e.g., cochlea wall). In particular, there is a 1,400% increase when the electrode array is moved very close to the cochlea wall. This may help the surgeon to find the optimal electrode position within the scala tympani by observation of such impedance characteristics. The misplacement of the electrode array within the scala tympani may be eliminated by using the impedance variation metric during electrode array insertion if the results are validated with an experimental study.

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Detection of Electrode Proximity to the Cochlea Wall Based on Impedance Variation: a Preliminary Computational Study

Cited by 6 publications

References 12 publications

A Fast and Reliable Three-Dimensional Centerline Tracing: Application to Virtual Cochlear Implant Surgery

A Fast and Reliable Three-Dimensional Centerline Tracing: Application to Virtual Cochlear Implant Surgery

Recent Advances in Cochlear Implant Technology: Past, Now and Future Directions

Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array

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