Atlas-Based Segmentation of Temporal Bone Anatomy

PurposeTo develop a time-efficient automated segmentation approach that could identify critical structures in the temporal bone for visual enhancement and use in surgical simulation software.MethodsAn atlas-based segmentation approach was developed to segment the cochlea, ossicles, semicircular canals (SCCs), and facial nerve in normal temporal bone CT images. This approach was tested in images of 26 cadaver bones (13 left, 13 right). The results of the automated segmentation were compared to manual segmentation visually and using DICE metric, average Hausdorff distance, and volume similarity.ResultsThe DICE metrics were greater than 0.8 for the cochlea, malleus, incus, and the SCCs combined. It was slightly lower for the facial nerve. The average Hausdorff distance was less than one voxel for all structures, and the volume similarity was 0.86 or greater for all structures except the stapes.ConclusionsThe atlas-based approach with rigid body registration of the otic capsule was successful in segmenting critical structures of temporal bone anatomy for use in surgical simulation software.

[1]  Allan Hanbury,et al.  Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool , 2015, BMC Medical Imaging.

[2]  Garnette R. Sutherland,et al.  Evaluation of Software Tools for Segmentation of Temporal Bone Anatomy , 2016, MMVR.

[3]  Ara Darzi,et al.  Virtual reality case-specific rehearsal in temporal bone surgery: a preliminary evaluation. , 2014, International journal of surgery.

[4]  Max A. Viergever,et al.  elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.

[5]  Michael Romann,et al.  Validation of digit-length ratio (2D:4D) assessments on the basis of DXA-derived hand scans , 2015, BMC Medical Imaging.

[6]  Sonny Chan,et al.  High-fidelity haptic and visual rendering for patient-specific simulation of temporal bone surgery , 2016, Computer assisted surgery.

[7]  Jeffrey H. Siewerdsen,et al.  Intraoperative Cone-beam CT for Guidance of Temporal Bone Surgery , 2006, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[8]  Sonny Chan,et al.  Reconstruction and exploration of virtual middle-ear models derived from micro-CT datasets , 2010, Hearing Research.

[9]  Benoit M. Dawant,et al.  Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.

[10]  Omid Majdani,et al.  Automatic Segmentation of Intracochlear Anatomy in Conventional CT , 2011, IEEE Transactions on Biomedical Engineering.

[11]  James Kozloski,et al.  Self-referential forces are sufficient to explain different dendritic morphologies , 2013, Front. Neuroinform..

[12]  Benoit M Dawant,et al.  Automatic segmentation of the facial nerve and chorda tympani in CT images using spatially dependent feature values. , 2008, Medical physics.

[13]  Stefan Klein,et al.  Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease , 2013, Front. Neuroinform..

[14]  M. Daly,et al.  Intraoperative Cone-Beam Computed Tomography and Multi-Slice Computed Tomography in Temporal Bone Imaging for Surgical Treatment , 2014, Otolaryngology Head & Neck Surgery.

[15]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[16]  R. Kikinis,et al.  3D visualisation of the middle ear and adjacent structures using reconstructed multi-slice CT datasets, correlating 3D images and virtual endoscopy to the 2D cross-sectional images , 2002, Neuroradiology.

[17]  M. F. Reiser,et al.  Evaluation of the middle and inner ear structures: comparison of hybrid rendering, virtual endoscopy and axial 2D source images , 1999, European Radiology.

[18]  Daniel Mirota,et al.  TREK: an integrated system architecture for intraoperative cone-beam CT-guided surgery , 2011, International Journal of Computer Assisted Radiology and Surgery.

[19]  Harley Chan,et al.  Intraoperative use of cone-beam computed tomography in a cadaveric ossified cochlea model , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[20]  Benoit M Dawant,et al.  Automatic Identification and 3D Rendering of Temporal Bone Anatomy , 2009, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.