講演名 | 2008-01-26 Automatic Teeth Recognition in Multi-Slice CT Images , |
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抄録(英) | Teeth are unique in identification of deceased persons where other biometric features are not applicable. In many cases, e.g., fire victims, the conventional biometric features such as face, fingerprint, iris, etc. may not be available. In this research, we present a technique for automatic recognition of teeth in multislices CT images. Teeth classification is performed by proposing appropriate segmentation, feature extraction and classification techniques. We segment a tooth by a hybrid approach including anatomical based histogram thresholding, panaromic resampling, and Level-Set techniques. We perform feature extraction by employing the following techniques; (1) calculating the Eigen-Values of each tooth by Dirichlet Laplacian technique; (2) providing the spectral features by Fourier and wavelet descriptors; and (3) determining statistical moments utilizing the teeth intensity range. Experimental results reveal that the technique is successful to automatically classify teeth in more than 93% of the cases in the lower and upper jaws. Our method is independent of anatomical information such as the sequence and locality of the teeth in jaws. |
キーワード(和) | |
キーワード(英) | Teeth recognition / Teeth segmentation / Level set / Dirichlet Laplacian / Spectral Descriptor |
資料番号 | MI2007-146 |
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研究会 | MI |
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開催期間 | 2008/1/18(から1日開催) |
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申込み研究会 | Medical Imaging (MI) |
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本文の言語 | ENG |
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タイトル(英) | Automatic Teeth Recognition in Multi-Slice CT Images |
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キーワード(1)(和/英) | / Teeth recognition |
第 1 著者 氏名(和/英) | / Maryam MOMENI |
第 1 著者 所属(和/英) | Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering College of Engineering, University of Tehran |
発表年月日 | 2008-01-26 |
資料番号 | MI2007-146 |
巻番号(vol) | vol.107 |
号番号(no) | 461 |
ページ範囲 | pp.- |
ページ数 | 8 |
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