A HYBRID METHOD FOR SEGMENTATION AND VISUALIZATION OF TEETH IN MULTI-SLICE CT SCAN IMAGES

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HOSNTALAB MOHAMMAD; AGHAEIZADEH ZOROOFI REZA; ABBASPOUR TEHRANI FARD ALI; SHIRANI GHOLAMREZA

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Journal: IRANIAN JOURNAL OF MEDICAL PHYSICS Year:2010 | Volume:6 | Issue:3-4 (24-25) Page(s): 19-28

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Title

A HYBRID METHOD FOR SEGMENTATION AND VISUALIZATION OF TEETH IN MULTI-SLICE CT SCAN IMAGES

Author(s)

HOSNTALAB MOHAMMAD | AGHAEIZADEH ZOROOFI REZA | ABBASPOUR TEHRANI FARD ALI | SHIRANI GHOLAMREZA | Issue Writer Certificate

Keywords

TOOTH SEGMENTATIONQ3

VARIATIONAL LEVEL SETQ3

PANORAMIC PROJECTIONQ3

3D VISUALIZATIONQ3

DENTAL CTQ3

Abstract

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step.Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we propose a hybrid technique for teeth segmentation and visualization in CT volumetric data. The major steps of the proposed techniques are as follows: (1) Separation of teeth in CT dataset; (2) Initial segmentation of teeth in PANORAMIC PROJECTION; (3) Final segmentation of teeth in CT dataset; (4) 3D VISUALIZATION of teeth.Results: The proposed algorithm was evaluated in 30 multi-slice CT datasets. Segmented images were compared with manually outlined contours. In order to evaluate the proposed method, we utilized several common performance measures such as sensitivity, specificity, precision, accuracy and mean error rate. The experimental results reveal the effectiveness of the proposed method.Discussion and Conclusion: In the proposed algorithm, the VARIATIONAL LEVEL SET technique was utilized to trace the contour of the teeth. In view of the fact that this technique is based on the characteristics of the overall region of the tooth image, it is possible to extract a very smooth and accurate tooth contour using this technique. For the available datasets, the proposed technique was more successful in teeth segmentation compared to previous techniques.

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APA: Copy

HOSNTALAB, MOHAMMAD, AGHAEIZADEH ZOROOFI, REZA, ABBASPOUR TEHRANI FARD, ALI, & SHIRANI, GHOLAMREZA. (2010). A HYBRID METHOD FOR SEGMENTATION AND VISUALIZATION OF TEETH IN MULTI-SLICE CT SCAN IMAGES. IRANIAN JOURNAL OF MEDICAL PHYSICS, 6(3-4 (24-25)), 19-28. SID. https://sid.ir/paper/96978/en

Vancouver: Copy

HOSNTALAB MOHAMMAD, AGHAEIZADEH ZOROOFI REZA, ABBASPOUR TEHRANI FARD ALI, SHIRANI GHOLAMREZA. A HYBRID METHOD FOR SEGMENTATION AND VISUALIZATION OF TEETH IN MULTI-SLICE CT SCAN IMAGES. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2010;6(3-4 (24-25)):19-28. Available from: https://sid.ir/paper/96978/en

IEEE: Copy

MOHAMMAD HOSNTALAB, REZA AGHAEIZADEH ZOROOFI, ALI ABBASPOUR TEHRANI FARD, and GHOLAMREZA SHIRANI, “A HYBRID METHOD FOR SEGMENTATION AND VISUALIZATION OF TEETH IN MULTI-SLICE CT SCAN IMAGES,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 6, no. 3-4 (24-25), pp. 19–28, 2010, [Online]. Available: https://sid.ir/paper/96978/en

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