Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD

The post-processing of optic nerve Magnetic Resonance (MR) images is very challenging due to their small size and the surrounding cerebrospinal fluid (CSF). This study proposed a new segmentation method called gradient-based edge detection with skeletonization (GES), which is specifically designed t...

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Main Authors: Feng, Yang, Chow, Li Sze, Tiang, Sew Sun, Ramli, Norlisah, Gowdh, Nadia Muhammad, Tan, Li Kuo, Abdullah, Suhailah
Format: Conference or Workshop Item
Published: IEEE 2022
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Online Access:http://eprints.um.edu.my/46291/
https://doi.org/10.1109/IECBES54088.2022.10079643
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spelling my.um.eprints.462912024-07-16T07:02:57Z http://eprints.um.edu.my/46291/ Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD Feng, Yang Chow, Li Sze Tiang, Sew Sun Ramli, Norlisah Gowdh, Nadia Muhammad Tan, Li Kuo Abdullah, Suhailah RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry TK Electrical engineering. Electronics Nuclear engineering The post-processing of optic nerve Magnetic Resonance (MR) images is very challenging due to their small size and the surrounding cerebrospinal fluid (CSF). This study proposed a new segmentation method called gradient-based edge detection with skeletonization (GES), which is specifically designed to segment the optic nerve acquired with T1-weighted magnetization-prepared 180o radio-frequency pulses and rapid gradient-echo (MPRAGE) without fat saturation (FATSAT). GES identifies the edges of the optic nerve based on the largest gradient changes of signal intensity from one region (optic nerve) to another region (CSF). The proposed GES method performed better than the well-known level set method (LSM) with higher Dice similarity coefficient (DSC) of 0.80 - 0.85 compared to 0.61 - 0.77 using LSM. Bicubic interpolation with a factor of 8 was applied before the segmentation process to increase the spatial resolution of the optic nerve. Five datasets of NMOSD patients, clinically diagnosed optic neuritis, were used in this study. The bicubic-GES processed optic nerve images were used for the area and volume measurements on the intraorbital portion of both left and right optic nerves. The measurement results were used to study the effect of Neuromyelitis Optica Spectrum Disorder (NMOSD) on the optic nerve The NMOSD causes optic neuritis and demyelination in the optic nerve. This study found that the affected optic nerve has a smaller volume than the normal contralateral optic nerve. Clinical Relevance - This study provides an additional tool to confirm the diagnosis of optic neuritis in NMOSD patients through the volume measurement on bicubic-GES processed optic nerve MR images. IEEE 2022 Conference or Workshop Item PeerReviewed Feng, Yang and Chow, Li Sze and Tiang, Sew Sun and Ramli, Norlisah and Gowdh, Nadia Muhammad and Tan, Li Kuo and Abdullah, Suhailah (2022) Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD. In: 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences, LECBES, 07-09 December 2022, Kuala Lumpur. https://doi.org/10.1109/IECBES54088.2022.10079643
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
TK Electrical engineering. Electronics Nuclear engineering
Feng, Yang
Chow, Li Sze
Tiang, Sew Sun
Ramli, Norlisah
Gowdh, Nadia Muhammad
Tan, Li Kuo
Abdullah, Suhailah
Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD
description The post-processing of optic nerve Magnetic Resonance (MR) images is very challenging due to their small size and the surrounding cerebrospinal fluid (CSF). This study proposed a new segmentation method called gradient-based edge detection with skeletonization (GES), which is specifically designed to segment the optic nerve acquired with T1-weighted magnetization-prepared 180o radio-frequency pulses and rapid gradient-echo (MPRAGE) without fat saturation (FATSAT). GES identifies the edges of the optic nerve based on the largest gradient changes of signal intensity from one region (optic nerve) to another region (CSF). The proposed GES method performed better than the well-known level set method (LSM) with higher Dice similarity coefficient (DSC) of 0.80 - 0.85 compared to 0.61 - 0.77 using LSM. Bicubic interpolation with a factor of 8 was applied before the segmentation process to increase the spatial resolution of the optic nerve. Five datasets of NMOSD patients, clinically diagnosed optic neuritis, were used in this study. The bicubic-GES processed optic nerve images were used for the area and volume measurements on the intraorbital portion of both left and right optic nerves. The measurement results were used to study the effect of Neuromyelitis Optica Spectrum Disorder (NMOSD) on the optic nerve The NMOSD causes optic neuritis and demyelination in the optic nerve. This study found that the affected optic nerve has a smaller volume than the normal contralateral optic nerve. Clinical Relevance - This study provides an additional tool to confirm the diagnosis of optic neuritis in NMOSD patients through the volume measurement on bicubic-GES processed optic nerve MR images.
format Conference or Workshop Item
author Feng, Yang
Chow, Li Sze
Tiang, Sew Sun
Ramli, Norlisah
Gowdh, Nadia Muhammad
Tan, Li Kuo
Abdullah, Suhailah
author_facet Feng, Yang
Chow, Li Sze
Tiang, Sew Sun
Ramli, Norlisah
Gowdh, Nadia Muhammad
Tan, Li Kuo
Abdullah, Suhailah
author_sort Feng, Yang
title Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD
title_short Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD
title_full Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD
title_fullStr Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD
title_full_unstemmed Bicubic interpolation and gradient- based edge detection with skeletonization segmentation (Bicubic-GES) on MR optic nerve images for examining NMOSD
title_sort bicubic interpolation and gradient- based edge detection with skeletonization segmentation (bicubic-ges) on mr optic nerve images for examining nmosd
publisher IEEE
publishDate 2022
url http://eprints.um.edu.my/46291/
https://doi.org/10.1109/IECBES54088.2022.10079643
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