Automated Tool for Diagnosis of Sinus Analysis CT Scans

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Journal Title, Volume, Page: 
Applications and Innovations in Intelligent Systems XV 2008, 4, P:133-146
Year of Publication: 
2008
Authors: 
Abdel–Razzak Natsheh
Department Of Computer Science, Faculty Of Information Technology, An-Najah National University, P.O. Box 7, Nablus, Palestine
Prasad VS Ponnapalli
Department of Engineering and Technology, Manchester Metropolitan University, Manchester M1 5GD
Nader Anani
Department of Engineering and Technology, Manchester Metropolitan University, Manchester M1 5GD
Atef El-Kholy
Trafford General Hospital, Manchester M41 5SL
Peter Norburn
Trafford General Hospital, Manchester M41 5SL
Preferred Abstract (Original): 

Diagnosis of Sinus condition is considered a difficult task in medical clinics due to the similar nature of the symptoms and the complexity of the images (e.g. plane of image, resolution) obtained using either X-ray or CT-Scan. Discussions with consultant doctors and radiologists working in this area pointed at the need for a computer based analysis and diagnosis tool that could be used as an aid to experts for diagnosing sinus diseases. There are a number of tools using traditional image processing techniques that are primarily useful for enhancing images. For an integrated system with potential diagnostic abilities artificial neural networks are good candidates that can combine image processing and diagnostic abilities in a single system. This paper presents the background and preliminary results in the development of an automated tool for the analysis and diagnosis of sinus conditions. The data used is in the form of CT scan images of sinus. Technology based on traditional image processing and Artificial Neural Networks (SOM) are explored for image processing and diagnosis. Anonymous CT-images of Sinuses were obtained from a local hospital. Preliminary results show that the proposed system has the potential to be a useful tool for clinicians in the areas of diagnosis and training of junior doctors.

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