Feature Line Profile Based Automatic Detection of Dental Caries in Bitewing Radiography

Author(s):  
Anupama Bhan ◽  
Ayush Goyal ◽  
Harsh ◽  
Naveen Chauhan ◽  
Ching-Wei Wang
2011 ◽  
Vol 19 (2) ◽  
Author(s):  
M. Ogiela ◽  
S. Bodzioch

AbstractThis paper presents a new approach to gallbladder ultrasonic image processing and analysis towards automatic detection and interpretation of disease symptoms on processed US images. First, in this paper, there is presented a new heuristic method of filtering gallbladder contours from images. A major stage in this filtration is to segment and section off areas occupied by the said organ. This paper provides for an inventive algorithm for the holistic extraction of gallbladder image contours, based on rank filtration, as well as on the analysis of line profile sections on tested organs. The second part concerns detecting the most important lesion symptoms of the gallbladder. Automating a process of diagnosis always comes down to developing algorithms used to analyze the object of such diagnosis and verify the occurrence of symptoms related to given affection. The methodology of computer analysis of US gallbladder images presented here is clearly utilitarian in nature and after standardising can be used as a technique for supporting the diagnostics of selected gallbladder disorders using the images of this organ.


2019 ◽  
Vol 70 (4) ◽  
pp. 1333-1336
Author(s):  
Claudiu Topoliceanu ◽  
Cristina-Angela Ghiorghe ◽  
Vasilica Toma ◽  
Sorin Andrian ◽  
Gianina Iovan ◽  
...  

The aim of study was to evaluate the accuracy of the near-infrared light transillumination technique used in the detection of the proximal incipient dental caries. The study was performed on 12 medium caries risk subjects (mean age of 26.5). A total number of 312 proximal dental surfaces from the posterior dental group were included in the study. All the proximal surfaces, which had not been restored, or unaffected by cavitated dental caries, were assessed by a near-infrared transillumination camera system using light with a 780nm wavelength (DIAGNOcam, KaVO). Bitewing radiographies were performed for all patients included in study. Visual and tactile examination after tooth separation was performed as gold standard to detect the incipient proximal dental caries (ICDAS scores 02 and 03). Statistical analysis using Chi-square test was performed to compare the diagnostic performance of near-infrared light transillumination and the bitewing radiography. Near-infrared light transillumination showed higher sensitivity (81.80%) when compared to bitewing radiography (65.90%) to detect the non-cavitated proximal enamel caries (ICDAS score 02). Near-infrared light transillumination method showed higher sensitivity (100%) when compared to bitewing radiography (81.50%) to detect the incipient cavitated proximal enamel caries (ICDAS score 03). Specificity values for proximal incipient dental caries (ICDAS codes 02 and 03) were 95.03% for near-infrared light transillumination and 99.18% for bitewing radiography. DIAGNOcam (KaVO) is a reliable tool with high diagnostic accuracy of the incipient dental caries localized on proximal surfaces of the posterior dental group.


2015 ◽  
Vol 65 (4) ◽  
pp. 178-181 ◽  
Author(s):  
José R. Lino ◽  
Joana Ramos-Jorge ◽  
Valéria Silveira Coelho ◽  
Maria L. Ramos-Jorge ◽  
Marcos R. Moysés ◽  
...  

1994 ◽  
Vol 144 ◽  
pp. 365-367
Author(s):  
E. V. Kononovich ◽  
O. B. Smirnova ◽  
P. Heinzel ◽  
P. Kotrč

AbstractThe Hα filtergrams obtained at Tjan-Shan High Altitude Observatory near Alma-Ata (Moscow University Station) were measured in order to specify the bright rims contrast at different points along the line profile (0.0; ± 0.25; ± 0.5; ± 0.75 and ± 1.0 Å). The mean contrast value in the line center is about 25 percent. The bright rims interpretation as the bases of magnetic structures supporting the filaments is suggested.


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