Prevalence of Symptoms of Temporomandibular Joint Disorder in Lattakia-Syria
Nazih Issa,
Naser Baherly,
Maria Mayhoube
Issue:
Volume 1, Issue 2, November 2015
Pages:
23-28
Received:
4 August 2015
Accepted:
22 September 2015
Published:
28 September 2015
DOI:
10.11648/j.ijbecs.20150102.11
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Abstract: The research aims to study the prevalence of the symptoms of TMJ disorder, TemporoMandibular Joint Disorder (TMJD), in Lattakia province – Syria. The research tool used is a form fora group of thoughtful questions related to the symptoms of TMJD. 450 questionnaire forms have been randomly distributed, by hand, to people in the ages of 15-60 years old, in different areas of the city. This allowed us to identify the prevalence of each symptom of TMJ disorders among each age group. We reached a conclusion that states that the prevalence of TMJD symptoms was the largest in males than females at a rate of 34.92%. Percentages showed a significant increase in the males category compared to a past research study done by the researcher Issa, his research showed a rate of 16% prevalence in males. This is attributable perhaps to the evolution of the predisposing conditions for the occurrence of such disorders. The most symptoms prevalent, in order, were the following: the inability to close the jaw after it opened, pain in the ear, hear sounds articular clicking and crepitation, pain when opening or wide yawn, pain of joints when chewing, the pain accompanying sounds, difficulty opening the mouth, pain around the jaws, deviation of the lower jaw.
Abstract: The research aims to study the prevalence of the symptoms of TMJ disorder, TemporoMandibular Joint Disorder (TMJD), in Lattakia province – Syria. The research tool used is a form fora group of thoughtful questions related to the symptoms of TMJD. 450 questionnaire forms have been randomly distributed, by hand, to people in the ages of 15-60 years o...
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Lung Detection and Segmentation Using Marker Watershed and Laplacian Filtering
Issue:
Volume 1, Issue 2, November 2015
Pages:
29-42
Received:
4 August 2015
Accepted:
20 October 2015
Published:
20 October 2015
DOI:
10.11648/j.ijbecs.20150102.12
Downloads:
Views:
Abstract: This paper proposes a new speed approach for the segmentation of the lung images in order to detect and extract the tumor region. The approach consists of two main stages, which are the preprocessing stage, marker watershed stage and the tumor detection stage. The preprocessing consists of laplacian filtering to enhance edges and make the next stages more efficient. The marker watershed step applies the Sobel gradient function on the foreground and background markers to get the possible tumor region. The post processing stage consists of tumor detection and segmentation in which the area of the tumor is calculated. The results are done on a medical lung database obtained from Tishreen hospital (in Lattakia, Syria) which consists of 59 images from 10 persons. The result shows robustness of the system in detecting and segmenting tumor region in different depths. The designed GUI supplies user with tumor region and area, and time of each stage.
Abstract: This paper proposes a new speed approach for the segmentation of the lung images in order to detect and extract the tumor region. The approach consists of two main stages, which are the preprocessing stage, marker watershed stage and the tumor detection stage. The preprocessing consists of laplacian filtering to enhance edges and make the next stag...
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