Automatic segmentation of mandible in panoramic x-ray

被引:46
作者
Abdi, Amir Hossein [1 ]
Kasaei, Shohreh [1 ]
Mehdizadeh, Mojdeh [2 ]
机构
[1] Sharif Univ Technol, Dept Comp Engn, Azadi Ave, Tehran 111559517, Iran
[2] Isfahan Univ Med Sci, Sch Dent, Dept Maxillofacial Radiol, Esfahan 81595158, Iran
关键词
medical image; automatic segmentation; statistical modeling; panoramic x-ray; mandible;
D O I
10.1117/1.JMI.2.4.044003
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
As the panoramic x-ray is the most common extraoral radiography in dentistry, segmentation of its anatomical structures facilitates diagnosis and registration of dental records. This study presents a fast and accurate method for automatic segmentation of mandible in panoramic x-rays. In the proposed four-step algorithm, a superior border is extracted through horizontal integral projections. A modified Canny edge detector accompanied by morphological operators extracts the inferior border of the mandible body. The exterior borders of ramuses are extracted through a contour tracing method based on the average model of mandible. The best-matched template is fetched from the atlas of mandibles to complete the contour of left and right processes. The algorithm was tested on a set of 95 panoramic x-rays. Evaluating the results against manual segmentations of three expert dentists showed that the method is robust. It achieved an average performance of >93% in Dice similarity, specificity, and sensitivity. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:8
相关论文
共 21 条
  • [1] Unified segmentation
    Ashburner, J
    Friston, KJ
    [J]. NEUROIMAGE, 2005, 26 (03) : 839 - 851
  • [2] ACTIVE SHAPE MODELS - THEIR TRAINING AND APPLICATION
    COOTES, TF
    TAYLOR, CJ
    COOPER, DH
    GRAHAM, J
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 1995, 61 (01) : 38 - 59
  • [3] MEASURES OF THE AMOUNT OF ECOLOGIC ASSOCIATION BETWEEN SPECIES
    DICE, LR
    [J]. ECOLOGY, 1945, 26 (03) : 297 - 302
  • [4] Toward an automated dental identification system
    Fahmy, G
    Nassar, D
    Haj-Said, E
    Chen, H
    Nomir, O
    Zhou, JD
    Howell, R
    Ammar, HH
    Abdel-Mottaleb, M
    Jain, AK
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2005, 14 (04)
  • [5] Frejlichowski D, 2011, LECT NOTES COMPUT SC, V6979, P294, DOI 10.1007/978-3-642-24088-1_31
  • [6] GENERALIZED PROCRUSTES ANALYSIS
    GOWER, JC
    [J]. PSYCHOMETRIKA, 1975, 40 (01) : 33 - 51
  • [7] Matching of dental X-ray images for human identification
    Jain, AK
    Chen, H
    [J]. PATTERN RECOGNITION, 2004, 37 (07) : 1519 - 1532
  • [8] Juliastuti E., 2012, 2012 INT C SYST ENG, P1, DOI DOI 10.1109/ICSENGT.2012.6339321
  • [9] An effective classification and numbering system for dental bitewing radiographs using teeth region and contour information
    Lin, P. L.
    Lai, Y. H.
    Huang, P. W.
    [J]. PATTERN RECOGNITION, 2010, 43 (04) : 1380 - 1392
  • [10] Dental biometrics: Human identification based on teeth and dental works in bitewing radiographs
    Lin, Phen-Lan
    Lai, Yan-Hao
    Huang, Po-Whei
    [J]. PATTERN RECOGNITION, 2012, 45 (03) : 934 - 946