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Atlas-based segmentation of cochlear microstructures in cone beam CT.

Kimerly A Powell1, Gregory J Wiet2, Brad Hittle3

  • 1Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA. kimerly.powell@osumc.edu.

International Journal of Computer Assisted Radiology and Surgery
|February 13, 2021
PubMed
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This summary is machine-generated.

An automated approach successfully segmented cochlear microstructures from cone beam CT images. This method aids surgical simulation and preoperative planning for temporal bone anatomy.

Area of Science:

  • Medical Imaging
  • Anatomical Segmentation
  • Surgical Simulation

Background:

  • Accurate segmentation of cochlear microstructures is crucial for surgical planning.
  • Clinical cone beam computed tomography (CBCT) offers detailed temporal bone imaging.
  • Existing segmentation methods may lack automation and precision for complex anatomical structures.

Purpose of the Study:

  • To develop an automated segmentation method for key cochlear microstructures (scala tympani, scala vestibuli, modiolus, mid-modiolus, round window membrane).
  • To enable the use of segmented data in surgical simulation software.
  • To support preoperative surgical evaluation and planning.

Main Methods:

  • Utilized the OpenEar (OE) Library with registered CBCT and 3D micro-slicing images.
Keywords:
Atlas-based segmentationCochlea anatomyImage registrationPre-surgical planningSurgical simulation

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  • Created a cochlear microstructure atlas from OE data.
  • Applied affine registration of the atlas to automatically segment structures in other OE CBCT images.
  • Validated segmentations using quantitative metrics (DICE, Hausdorff distance) and visual review.

    • Main Results:

    • Achieved average DICE scores of 0.77 for scala tympani and 0.74 for scala vestibuli.
    • Reported average Hausdorff distances below 0.12 mm for both scalae.
    • Demonstrated accurate segmentation of the round window membrane and mid-modiolar axes with minimal mean distance and angular deviation.
    • Visual assessment confirmed segmentation accuracy comparable to expert manual tracing.

    Conclusions:

    • An atlas-based, automated segmentation approach using 3D micro-slicing and affine registration is effective for cochlear microstructures.
    • This method successfully segments temporal bone anatomy for surgical simulation.
    • The approach shows potential for enhancing pre-surgical planning and rehearsal.