Comparative Study Using Computed Tomographic Thin-Section Zoom Reconstructions and Anatomic Macrosections of the Temporal Bone
Charles W. Beatty, Lowell D. Harris, Ku W. Suh, David F. Reese
Abstract
Charles W. Beatty, Lowell D. Harris, Ku W. Suh, David F. Reese
Abstract
Thin-section (1.5 mm) high-spatial-resolution computed tomography (CT) in combination with computerized high-resolution image reconstruction is an effective, noninvasive means of studying patients with a variety of temporal bone abnormalities. To determine what degree of definition and anatomic accuracy could currently be obtained by using these techniques, we performed thin-section CT and high-resolution image reconstruction with use of two fresh-frozen cadaver head specimens. We then compared these images with the actual anatomic macrosections subsequently obtained from the specimens. We concluded that high-resolution CT scans of temporal bone can produce accurate, highly detailed, diagnostic images of the internal auditory canal, vestibule, cochlea, vestibular aqueduct, semicircular canals, and middle ear space.
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Thin-section (1.5 mm) high-spatial-resolution computed tomography (CT) in combination with computerized high-resolution image reconstruction is an effective, noninvasive means of studying patients with a variety of temporal bone abnormalities. To determine what degree of definition and anatomic accuracy could currently be obtained by using these techniques, we performed thin-section CT and high-resolution image reconstruction with use of two fresh-frozen cadaver head specimens. We then compared these images with the actual anatomic macrosections subsequently obtained from the specimens. We concluded that high-resolution CT scans of temporal bone can produce accurate, highly detailed, diagnostic images of the internal auditory canal, vestibule, cochlea, vestibular aqueduct, semicircular canals, and middle ear space.
Key concepts: Temporal bone, Vestibular aqueduct, Cadaver, Vestibule, Tomography, Cochlea, Semicircular canal, Computed tomographic