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Paper Abstract and Keywords
Presentation 2008-01-26 15:15
Automatic Teeth Recognition in Multi-Slice CT Images
Maryam Momeni, Reza A. Zoroofi (Univ. of Tehran), Yoshinobu Sato (Osaka Univ.) MI2007-146
Abstract (in Japanese) (See Japanese page) 
(in English) 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 multi-slices 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 a 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 revealed that the technique was successful to automatically classify teeth in more than 93% of the cases in the lower and upper jaws. Our method is independent of the anatomical information such as the sequence and locality of the teeth in jaws.
Keyword (in Japanese) (See Japanese page) 
(in English) Teeth recognition / Teeth segmentation / Level-Set / Dirichlet Laplacian / Spectral Descriptors / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 461, MI2007-146, pp. 449-456, Jan. 2008.
Paper # MI2007-146 
Date of Issue 2008-01-18 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MI  
Conference Date 2008-01-25 - 2008-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Naha-Bunka-Tenbusu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2008-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Teeth Recognition in Multi-Slice CT Images 
Sub Title (in English)  
Keyword(1) Teeth recognition  
Keyword(2) Teeth segmentation  
Keyword(3) Level-Set  
Keyword(4) Dirichlet Laplacian  
Keyword(5) Spectral Descriptors  
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1st Author's Name Maryam Momeni  
1st Author's Affiliation University of Tehran, Tehran, IRAN. (Univ. of Tehran)
2nd Author's Name Reza A. Zoroofi  
2nd Author's Affiliation University of Tehran, Tehran, IRAN. (Univ. of Tehran)
3rd Author's Name Yoshinobu Sato  
3rd Author's Affiliation Osaka University Medical School (Osaka Univ.)
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Speaker Author-2 
Date Time 2008-01-26 15:15:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2007-146 
Volume (vol) vol.107 
Number (no) no.461 
Page pp.449-456 
#Pages
Date of Issue 2008-01-18 (MI) 


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