2004
DOI: 10.1007/978-3-540-30136-3_64
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Bite-Block Relocation Error in Image-Guided Otologic Surgery

Abstract: Abstract. Otologic surgery is undertaken to treat ailments of the ear including persistent infections, hearing loss, vertigo, and cancer. Typically performed on healthy patients in outpatient facilities, the application of image-guided surgery has been limited because accurate (<1mm), non-invasive fiducial systems for otologic surgery are not available. We have developed such a system, which repeatably attaches to a subject via a dental bite block [1]. In a previous report, ex-vivo validation indicated that me… Show more

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Cited by 10 publications
(12 citation statements)
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“…The error component due to FLE does not change much though because there are no changes expected in the anatomy of the inner ear, and the localization accuracy of the markers remains approximately the same throughout. We also note that the main component of the total error is the bite-block relocation error, as noted for skulls in [6,7].…”
Section: Resultsmentioning
confidence: 66%
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“…The error component due to FLE does not change much though because there are no changes expected in the anatomy of the inner ear, and the localization accuracy of the markers remains approximately the same throughout. We also note that the main component of the total error is the bite-block relocation error, as noted for skulls in [6,7].…”
Section: Resultsmentioning
confidence: 66%
“…The error in reattaching the bite block at the same position relative to the teeth results in error in placing the fiducial frame (virtually) at the same pose (position and orientation) relative to the patient. This biteblock relocation error is a major component of the total TRE measured at any target point [6,7]. This error component will be referred as TRE frame , and can be assumed to be uncorrelated to TRE FLE .…”
Section: Methodsmentioning
confidence: 99%
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“…Befu et al [3] proposed a method to obtain clear threedimensional images from noisy dental CT images. Also, head CT is being used in dental implantology and oral and cranio-maxillofacial surgery [4][5][6][7][8][9][10]. Concerning alveolar bone resorption, Li et al [11] detect and evaluate root decay and bone loss (resorption) on 2D dental X-ray images by a level set method and an SVM (support vector machine) classifier.…”
Section: Introductionmentioning
confidence: 99%