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
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 decision-making 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 rapid centerline tracing of the cochlea needed for real-time surgery (0.48 seconds per electrode insertion).
Automated insertion, Cochlea, Cross-section calibration, Directional convolution, Minimally invasive surgery, Real-time systems, Robust centerline tracing, Tubular structures, Virtual surgery
167757-167766
Zamani, Majid
431788cc-0702-4fa9-9709-f5777a2d0d25
Salkim, Enver
2d38e405-c332-4fa8-8f0b-a4e06103a354
Saeed, Shakeel R.
53e694dc-465d-4669-b98f-9ddbfb6c7e9c
Demosthenous, Andreas
bed19531-d770-4f48-8464-59d225ddea8d
28 August 2020
Zamani, Majid
431788cc-0702-4fa9-9709-f5777a2d0d25
Salkim, Enver
2d38e405-c332-4fa8-8f0b-a4e06103a354
Saeed, Shakeel R.
53e694dc-465d-4669-b98f-9ddbfb6c7e9c
Demosthenous, Andreas
bed19531-d770-4f48-8464-59d225ddea8d
Zamani, Majid, Salkim, Enver, Saeed, Shakeel R. and Demosthenous, Andreas
(2020)
A fast and reliable three-dimensional centerline tracing: application to virtual cochlear implant surgery.
IEEE Access, 8, .
(doi:10.1109/ACCESS.2020.3020247).
Abstract
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 decision-making 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 rapid centerline tracing of the cochlea needed for real-time surgery (0.48 seconds per electrode insertion).
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Published date: 28 August 2020
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Publisher Copyright:
© 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
Keywords:
Automated insertion, Cochlea, Cross-section calibration, Directional convolution, Minimally invasive surgery, Real-time systems, Robust centerline tracing, Tubular structures, Virtual surgery
Identifiers
Local EPrints ID: 489173
URI: http://eprints.soton.ac.uk/id/eprint/489173
ISSN: 2169-3536
PURE UUID: 5b9f623b-13cb-4af7-b97b-bc8d98d9d3ac
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Date deposited: 16 Apr 2024 16:39
Last modified: 06 Jun 2024 02:19
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Author:
Majid Zamani
Author:
Enver Salkim
Author:
Shakeel R. Saeed
Author:
Andreas Demosthenous
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