Image Processing

Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging

[+] Author Affiliations
Alessandro Cosci

Universidade de São Paulo, Instituto de Fisica de São Carlos, Avenida Trabalhador São-carlense, 400-Pq. Arnold Schimidt, São Carlos CEP 13566-590, Brazil

Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Piazza del Viminale 1, Rome 00184, Italy

Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata “Nello Carrara,” Via Madonna del Piano 10, Sesto Fiorentino 50019, Italy

Ademar Takahama, Jr., Rebeca Souza Azevedo, Karla Bianca Fernandes da Costa Fontes

Universidade Federal Fluminense, Instituto de Saúde de Nova Friburgo, Estomatologia e Patologia Oral, Faculdade de Odontologia de Nova Friburgo, Rua Doutor Silvio Henrique Braune 22, Centro, Nova Friburgo, Rio de Janeiro CEP 28625-650, Brazil

Wagner Rafael Correr, Cristina Kurachi

Universidade de São Paulo, Instituto de Fisica de São Carlos, Avenida Trabalhador São-carlense, 400-Pq. Arnold Schimidt, São Carlos CEP 13566-590, Brazil

J. Med. Imag. 3(4), 044004 (Dec 02, 2016). doi:10.1117/1.JMI.3.4.044004
History: Received July 5, 2016; Accepted November 1, 2016
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Abstract.  Actinic cheilitis (AC) is a disease caused by prolonged and cumulative sun exposure that mostly affects the lower lip, which can progress to a lip squamous cell carcinoma. Routine diagnosis relies on clinician experience and training. We investigated the diagnostic efficacy of wide-field fluorescence imaging coupled to an automated algorithm for AC recognition. Fluorescence images were acquired from 57 patients with confirmed AC and 46 normal volunteers. Three different algorithms were employed: two based on the emission characteristics of local heterogeneity, entropy and intensity range, and one based on the number of objects after K-mean clustering. A classification model was obtained using a fivefold cross correlation algorithm. Sensitivity and specificity rates were 86% and 89.1%, respectively.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Alessandro Cosci ; Ademar Takahama, Jr. ; Wagner Rafael Correr ; Rebeca Souza Azevedo ; Karla Bianca Fernandes da Costa Fontes, et al.
"Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging", J. Med. Imag. 3(4), 044004 (Dec 02, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.4.044004


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