Comput Methods Programs Biomed - Teeth segmentation of dental periapical radiographs based on local singularity analysis.

Tópicos

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Resumo

Teeth segmentation for periapical raidographs is one of the most critical tasks for effective periapical lesion or periodontitis detection, as both types of anomalies usually occur around tooth boundaries and dental radiographs are often subject to noise, low contrast, and uneven illumination. In this paper, we propose an effective scheme to segment each tooth in periapical radiographs. The method consists of four stages: image enhancement using adaptive power law transformation, local singularity analysis using H?lder exponent, tooth recognition using Otsu's thresholding and connected component analysis, and tooth delineation using snake boundary tracking and morphological operations. Experimental results of 28 periapical radiographs containing 106 teeth in total and 75 useful for dental examination demonstrate that 105 teeth are successfully isolated and segmented, and the overall mean segmentation accuracy of all 75 useful teeth in terms of (TP, FP) is (0.8959, 0.0093) with standard deviation (0.0737, 0.0096), respectively.

Resumo Limpo

teeth segment periap raidograph one critic task effect periap lesion periodont detect type anomali usual occur around tooth boundari dental radiograph often subject nois low contrast uneven illumin paper propos effect scheme segment tooth periap radiograph method consist four stage imag enhanc use adapt power law transform local singular analysi use hlder expon tooth recognit use otsus threshold connect compon analysi tooth delin use snake boundari track morpholog oper experiment result periap radiograph contain teeth total use dental examin demonstr teeth success isol segment overal mean segment accuraci use teeth term tp fp standard deviat respect

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