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

• Published in: IEEE access Vol. 8; pp. 167757 - 167766
• Main Authors: Zamani, Majid, Salkim, Enver, Saeed, Shakeel R., Demosthenous, Andreas
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Automated insertion; Cochlea; Cochlear implants; Convolution; Cost analysis; Covariance matrices; cross-section calibration; Decision analysis; Decision making; directional convolution; Homogeneity; Image analysis; Image reconstruction; Job shop scheduling; minimally invasive surgery; Parameterization; Pixels; Probability distribution; Raw materials; real-time systems; robust centerline tracing; Schedules; Single machine scheduling; Stochastic processes; Surgery; Three dimensional models; Tracing; tubular structures; virtual surgery
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3020247

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).