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Quantitative image analysis of periapical dental radiography for dental condition diagnosis
Ayuningtiyas A.a, Putra N.K.a, Suprijantoa, Juliastuti E.a, Epsilawati L.b
a Engineering Physics Program, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia
b Department of Dental Radiology, Faculty of Dentistry, Padjadjaran University, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Periapical dental radiography have been used by the dentist to diagnose the lessions of the tooth. In Indonesia, recent development of this dental technology still used conventional method by using negative film with several limitation. This research was conducted to study digitalization of periapical film using digital dental X Ray reader for dental condition diagnosis. This dental condition was made by two step image analysis, consist of qualitative analysis and quantitative analysis the dentin and pulp. To segmen dentin and pulp, active contour was used to simplify the image analysis process. Qualitative analysis was made by the help of the visual inspection of the dentist, while quantitative analysis was made by compute various statistic parameter. Result of this research show that varians and the intensity ratio between dentin and pulp is good enough to be statistic parameter to differentiate the condition of the dental. © 2013 IEEE.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Active contours,Conventional methods,Dental radiography,periapical image,Qualitative analysis,Quantitative image analysis,Statistic parameters,Statistical parameters[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]active contour,image analysis,image segmentation,periapical image,statistical parameters[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICICI-BME.2013.6698525[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]