Automatic identification and 3D rendering of temporal bone anatomy.

Hypothesis: Using automated methods, vital anatomy of the middle ear can be identified in computed tomographic (CT) scans and used to create 3-dimensional (3D) renderings.Background: Although difficult to master, clinicians compile 2D data from CT scans to envision 3D anatomy. Computer programs exis...

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Published in:Otology & Neurotology Vol. 30; no. 4; pp. 436 - 443
Main Authors: Noble JH, Dawant BM, Warren FM, Labadie RF, Noble, Jack H, Dawant, Benoit M, Warren, Frank M, Labadie, Robert F
Format: Journal Article
Published: Lippincott Williams & Wilkins 2009 Jun
Online Access:View this record in EBSCOhost
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      dt: 2009 Jun
      vid: 30
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        atl: Automatic identification and 3D rendering of temporal bone anatomy.
      aug:
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          Noble JH
          Dawant BM
          Warren FM
          Labadie RF
          Noble, Jack H
          Dawant, Benoit M
          Warren, Frank M
          Labadie, Robert F
        affil: Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
      sug:
        subj:
          Bar Coding Methods
          Diagnostic Imaging Methods
          Temporal Bone Anatomy and Histology
          Algorithms
          Bar Coding Equipment and Supplies
          Diagnostic Imaging Equipment and Supplies
          Ear Canal Anatomy and Histology
          Ear Canal Radiography
          Ear Ossicles Anatomy and Histology
          Ear Ossicles Radiography
          Facial Nerve Anatomy and Histology
          Facial Nerve Radiography
          Information Science
          Ear, Inner Anatomy and Histology
          Ear, Inner Radiography
          Radiographic Image Interpretation, Computer-Assisted
          Software
          Temporal Bone Radiography
          Tomography, X-Ray Computed
      ab: Hypothesis: Using automated methods, vital anatomy of the middle ear can be identified in computed tomographic (CT) scans and used to create 3-dimensional (3D) renderings.Background: Although difficult to master, clinicians compile 2D data from CT scans to envision 3D anatomy. Computer programs exist that can render 3D surfaces but are limited in that ear structures, for example, the facial nerve, can only be visualized after time-intensive manual identification for each scan. Here, we present results from novel computer algorithms that automatically identify temporal bone anatomy (external auditory canal, ossicles, labyrinth, facial nerve, and chorda tympani).Methods: An atlas of the labyrinth, ossicles, and auditory canal was created by manually identifying the structures in a "normal" temporal bone CT scan. Using well-accepted techniques, these structures were automatically identified in (n = 14) unknown CT images by deforming the atlas to match the unknown volumes. Another automatic localization algorithm was implemented to identify the position of the facial nerve and chorda tympani. Results were compared with manual identification by measuring false-positive and false-negative error.Results: The labyrinth, ossicles, and auditory canal were identified with mean errors less than 0.5 mm. The mean errors in facial nerve and chorda tympani identification were less than 0.3 mm.Conclusion: Automated identification of temporal bone anatomy is achievable. The presented combination of techniques was successful in accurately identifying temporal bone anatomy. These results were obtained in less than 10 minutes per patient scan using standard computing equipment.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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