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COMPUTERIZED SEGMENTATION OF SINUS IMAGES

Sinusitis is currently diagnosed with techniques such as endoscopy, ultrasound. X-ray. Computed Tomography (CT) scan and Magnetic Resonance Imaging (MIZI ). Out of these techniques, imaging techniques are less invasive while being able to show blockage of sinus cavities. However, the potential of...

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Main Author: LEE, SAN LAIEN
Format: Final Year Project
Language:English
Published: 2009
Online Access:http://utpedia.utp.edu.my/id/eprint/3270/1/0001.pdf
http://utpedia.utp.edu.my/id/eprint/3270/
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spelling oai:utpedia.utp.edu.my:32702023-05-12T03:20:28Z http://utpedia.utp.edu.my/id/eprint/3270/ COMPUTERIZED SEGMENTATION OF SINUS IMAGES LEE, SAN LAIEN Sinusitis is currently diagnosed with techniques such as endoscopy, ultrasound. X-ray. Computed Tomography (CT) scan and Magnetic Resonance Imaging (MIZI ). Out of these techniques, imaging techniques are less invasive while being able to show blockage of sinus cavities. However, the potential of these techniques have not been fully realized as the images obtained are still bound to misinterpretations. This work attempts to solve this problem by developing an algorithm for the computerized segmentation of sinus images for the detection and grading of' sinusitis. The image enhancement techniques used were median filtering and the Contrast Limited Adapted Histogram Equalisation (CLAI-IE). These techniques applied on input images managed to reduce noise and smoothen the image histogram. Multilevel thresholding algorithms were developed to segment the images into meaningful regions for the detection of sinusitis. These algorithms were able to extract important features from the images. The simulations were performed on images of healthy sinuses and sinuses with sinusitis. The algorithms are found to be able to detect and grade sinusitis. In addition, a 3-D model of the sinuses was constructed from the segmentation to facilitate in surgical planning of sinusitis. 2009-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/3270/1/0001.pdf LEE, SAN LAIEN (2009) COMPUTERIZED SEGMENTATION OF SINUS IMAGES. [Final Year Project] (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description Sinusitis is currently diagnosed with techniques such as endoscopy, ultrasound. X-ray. Computed Tomography (CT) scan and Magnetic Resonance Imaging (MIZI ). Out of these techniques, imaging techniques are less invasive while being able to show blockage of sinus cavities. However, the potential of these techniques have not been fully realized as the images obtained are still bound to misinterpretations. This work attempts to solve this problem by developing an algorithm for the computerized segmentation of sinus images for the detection and grading of' sinusitis. The image enhancement techniques used were median filtering and the Contrast Limited Adapted Histogram Equalisation (CLAI-IE). These techniques applied on input images managed to reduce noise and smoothen the image histogram. Multilevel thresholding algorithms were developed to segment the images into meaningful regions for the detection of sinusitis. These algorithms were able to extract important features from the images. The simulations were performed on images of healthy sinuses and sinuses with sinusitis. The algorithms are found to be able to detect and grade sinusitis. In addition, a 3-D model of the sinuses was constructed from the segmentation to facilitate in surgical planning of sinusitis.
format Final Year Project
author LEE, SAN LAIEN
spellingShingle LEE, SAN LAIEN
COMPUTERIZED SEGMENTATION OF SINUS IMAGES
author_facet LEE, SAN LAIEN
author_sort LEE, SAN LAIEN
title COMPUTERIZED SEGMENTATION OF SINUS IMAGES
title_short COMPUTERIZED SEGMENTATION OF SINUS IMAGES
title_full COMPUTERIZED SEGMENTATION OF SINUS IMAGES
title_fullStr COMPUTERIZED SEGMENTATION OF SINUS IMAGES
title_full_unstemmed COMPUTERIZED SEGMENTATION OF SINUS IMAGES
title_sort computerized segmentation of sinus images
publishDate 2009
url http://utpedia.utp.edu.my/id/eprint/3270/1/0001.pdf
http://utpedia.utp.edu.my/id/eprint/3270/
_version_ 1768010115904962560
score 13.226497

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