Proposal for a New Noncontact Method for Measuring Tongue Moisture to Assist in Tongue Diagnosis and Development of the Tongue Image Analyzing System, Which Can Separately Record the Gloss Components of the Tongue

Tongue diagnosis is a noninvasive diagnosis and is traditionally one of the most important tools for physicians who practice Kampo (traditional Japanese) medicine. However, it is a subjective process, and its results can depend on the experience of the physician performing it. Previous studies have reported how to measure and evaluate the shape and color of the tongue objectively. Therefore, this study focused on the glossy component in order to quantify tongue moisture in tongue diagnosis. We hypothesized that moisture appears as a gloss in captured images and measured the amount of water on the tongue surface in 13 subjects. The results showed a high correlation between the degree of gloss and the amount of water on the tongue surface and suggested that the moisture on the tongue can be estimated by the degree of gloss in a captured image. Because the moisture level on the tongue changes during the course of taking photos, it became clear that we had to wait at least 3 minutes between photos. Based on these results, we established the tongue image analyzing system (TIAS), which can consistently record the gloss and color of the tongue surface simultaneously.

[1]  S. Bernardini,et al.  Saliva metabolomics by NMR for the evaluation of sport performance. , 2014, Journal of pharmaceutical and biomedical analysis.

[2]  David Zhang,et al.  Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy Using Tongue Color, Texture, and Geometry Features , 2014, IEEE Transactions on Biomedical Engineering.

[3]  S. Ishimoto,et al.  Objective and non-invasive evaluation of dry mouth. , 2008, Auris, nasus, larynx.

[4]  Tomoo Kudo,et al.  Three-Dimensional Reconstruction of Oral Tongue Squamous Cell Carcinoma at Invasion Front , 2013, International journal of dentistry.

[5]  D. Zhang,et al.  Computer Aided Tongue Diagnosis System , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[6]  Kyungmo Park,et al.  Development of differential criteria on tongue coating thickness in tongue diagnosis. , 2012, Complementary therapies in medicine.

[7]  I. Saito,et al.  Preliminary results of moisture checker for Mucus in diagnosing dry mouth. , 2005, Oral diseases.

[8]  Konradsen Hanne,et al.  Oral status and the need for oral health care among patients hospitalised with acute medical conditions. , 2012, Journal of clinical nursing.

[9]  Chuang-Chien Chiu,et al.  A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue , 2000, Comput. Methods Programs Biomed..

[10]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[11]  David Zhang,et al.  Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics , 2013, IEEE Transactions on Image Processing.

[12]  Jie Yang,et al.  An Image Analysis System for Tongue Diagnosis in Traditional Chinese Medicine , 2004, CIS.

[13]  S. Ishimoto,et al.  Objective assessment of dry mouth using a non-invasive device , 2009, Acta Oto-Laryngologica.