Determination of Forehead Lesion in Facial Paralysis using Gabor Filter

Facial paralysis is a loss of the voluntary muscle movement due to any damages in facial nerve. The need for fast and accurate facial nerve assessment is crucial for further efficient treatment of facial nerve paralysis. Any impairment of its function can severely affect the social and psychological...

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Main Authors: Wan Syahirah, Wan Samsudin, Rosdiyana, Samad, Kenneth, Sundaraj, Mohd Zaki, Ahmad
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21197/
http://umpir.ump.edu.my/id/eprint/21197/1/Determination%20of%20Forehead%20Lesion%20in%20Facial%20Paralysis%20using%20Gabor%20Filter-fkee-2018-1.pdf
id ump-21197
recordtype eprints
spelling ump-211972018-05-24T06:08:48Z http://umpir.ump.edu.my/id/eprint/21197/ Determination of Forehead Lesion in Facial Paralysis using Gabor Filter Wan Syahirah, Wan Samsudin Rosdiyana, Samad Kenneth, Sundaraj Mohd Zaki, Ahmad TJ Mechanical engineering and machinery Facial paralysis is a loss of the voluntary muscle movement due to any damages in facial nerve. The need for fast and accurate facial nerve assessment is crucial for further efficient treatment of facial nerve paralysis. Any impairment of its function can severely affect the social and psychological of a patient with this paralysis. Traditional methods are solely dependent on the subjective evaluation of clinicians and consequently lead to observant error, time-consuming and may obtain a different decision on the treatment method. A novel approach has been proposed in this study which capable to distinguish the type of lesions of facial paralysis since these lesions become the main attribute for differentiating the type of paralysis before deciding the further treatment for the patient. Gabor Filter Method with different orientation and scales have been experimented in this study. Two powerful parameters, Mean Amplitude and Local Energy, were extracted from Gabor magnitude response to determine the lesions in facial paralysis. From the results, the Local Energy measurements are better than Mean Amplitude measurements in classifying between LMN and UMN. Besides, pi/2 orientation of Local Energy feature gives the most stable and good results in classifying the data throughout the scales. In addition, Scale 1 has shown the most reasonable scale for all orientations. As a conclusion, this wrinkle analysis is capable of determining the type of lesions of facial paralysis and become a helpful tool for the clinicians in facial nerve assessment. 2018 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/21197/1/Determination%20of%20Forehead%20Lesion%20in%20Facial%20Paralysis%20using%20Gabor%20Filter-fkee-2018-1.pdf Wan Syahirah, Wan Samsudin and Rosdiyana, Samad and Kenneth, Sundaraj and Mohd Zaki, Ahmad (2018) Determination of Forehead Lesion in Facial Paralysis using Gabor Filter. In: World of Multidisciplinary Research and Application Conference (WOMRAC 2018), 17-19 April 2018 , Kota Kinabalu, Sabah, Malaysia. pp. 1-8.. (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Wan Syahirah, Wan Samsudin
Rosdiyana, Samad
Kenneth, Sundaraj
Mohd Zaki, Ahmad
Determination of Forehead Lesion in Facial Paralysis using Gabor Filter
description Facial paralysis is a loss of the voluntary muscle movement due to any damages in facial nerve. The need for fast and accurate facial nerve assessment is crucial for further efficient treatment of facial nerve paralysis. Any impairment of its function can severely affect the social and psychological of a patient with this paralysis. Traditional methods are solely dependent on the subjective evaluation of clinicians and consequently lead to observant error, time-consuming and may obtain a different decision on the treatment method. A novel approach has been proposed in this study which capable to distinguish the type of lesions of facial paralysis since these lesions become the main attribute for differentiating the type of paralysis before deciding the further treatment for the patient. Gabor Filter Method with different orientation and scales have been experimented in this study. Two powerful parameters, Mean Amplitude and Local Energy, were extracted from Gabor magnitude response to determine the lesions in facial paralysis. From the results, the Local Energy measurements are better than Mean Amplitude measurements in classifying between LMN and UMN. Besides, pi/2 orientation of Local Energy feature gives the most stable and good results in classifying the data throughout the scales. In addition, Scale 1 has shown the most reasonable scale for all orientations. As a conclusion, this wrinkle analysis is capable of determining the type of lesions of facial paralysis and become a helpful tool for the clinicians in facial nerve assessment.
format Conference or Workshop Item
author Wan Syahirah, Wan Samsudin
Rosdiyana, Samad
Kenneth, Sundaraj
Mohd Zaki, Ahmad
author_facet Wan Syahirah, Wan Samsudin
Rosdiyana, Samad
Kenneth, Sundaraj
Mohd Zaki, Ahmad
author_sort Wan Syahirah, Wan Samsudin
title Determination of Forehead Lesion in Facial Paralysis using Gabor Filter
title_short Determination of Forehead Lesion in Facial Paralysis using Gabor Filter
title_full Determination of Forehead Lesion in Facial Paralysis using Gabor Filter
title_fullStr Determination of Forehead Lesion in Facial Paralysis using Gabor Filter
title_full_unstemmed Determination of Forehead Lesion in Facial Paralysis using Gabor Filter
title_sort determination of forehead lesion in facial paralysis using gabor filter
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21197/
http://umpir.ump.edu.my/id/eprint/21197/1/Determination%20of%20Forehead%20Lesion%20in%20Facial%20Paralysis%20using%20Gabor%20Filter-fkee-2018-1.pdf
first_indexed 2023-09-18T22:31:01Z
last_indexed 2023-09-18T22:31:01Z
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