Optical coherence tomography angiography for vessel segmentation
Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that has gained prominence in the diagnosis and management of various ocular diseases. Accurate vessel segmentation in OCTA images is crucial for the quantitative analysis of vascular structures. This study propos...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/167445 |
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author | Zhang, Mengyuan |
author2 | Liu Linbo |
author_facet | Liu Linbo Zhang, Mengyuan |
author_sort | Zhang, Mengyuan |
collection | NTU |
description | Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging
technique that has gained prominence in the diagnosis and management of various ocular
diseases. Accurate vessel segmentation in OCTA images is crucial for the quantitative
analysis of vascular structures. This study proposes a novel approach for OCTA vessel
segmentation using Hessian-based filtering and local mean enhancement. The method
involves pre-processing the images, extracting the Foveal Avascular Zone (FAZ) region,
and applying a Hessian filter to enhance blood vessels. Local mean computation and
thresholding techniques are employed for binary vessel segmentation and further
enhancement. The proposed method was evaluated on a dataset of ten OCTA images,
demonstrating promising results in vessel segmentation with improved accuracy and
efficiency compared to existing techniques. This approach has potential applications in
clinical practice and research, contributing to the better understanding and management of
ocular diseases. |
first_indexed | 2024-10-01T05:50:19Z |
format | Final Year Project (FYP) |
id | ntu-10356/167445 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:50:19Z |
publishDate | 2023 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1674452023-07-07T17:17:25Z Optical coherence tomography angiography for vessel segmentation Zhang, Mengyuan Liu Linbo School of Electrical and Electronic Engineering LIULINBO@ntu.edu.sg Engineering::Electrical and electronic engineering Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that has gained prominence in the diagnosis and management of various ocular diseases. Accurate vessel segmentation in OCTA images is crucial for the quantitative analysis of vascular structures. This study proposes a novel approach for OCTA vessel segmentation using Hessian-based filtering and local mean enhancement. The method involves pre-processing the images, extracting the Foveal Avascular Zone (FAZ) region, and applying a Hessian filter to enhance blood vessels. Local mean computation and thresholding techniques are employed for binary vessel segmentation and further enhancement. The proposed method was evaluated on a dataset of ten OCTA images, demonstrating promising results in vessel segmentation with improved accuracy and efficiency compared to existing techniques. This approach has potential applications in clinical practice and research, contributing to the better understanding and management of ocular diseases. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-26T07:09:27Z 2023-05-26T07:09:27Z 2023 Final Year Project (FYP) Zhang, M. (2023). Optical coherence tomography angiography for vessel segmentation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167445 https://hdl.handle.net/10356/167445 en A1087-221 application/pdf Nanyang Technological University |
spellingShingle | Engineering::Electrical and electronic engineering Zhang, Mengyuan Optical coherence tomography angiography for vessel segmentation |
title | Optical coherence tomography angiography for vessel segmentation |
title_full | Optical coherence tomography angiography for vessel segmentation |
title_fullStr | Optical coherence tomography angiography for vessel segmentation |
title_full_unstemmed | Optical coherence tomography angiography for vessel segmentation |
title_short | Optical coherence tomography angiography for vessel segmentation |
title_sort | optical coherence tomography angiography for vessel segmentation |
topic | Engineering::Electrical and electronic engineering |
url | https://hdl.handle.net/10356/167445 |
work_keys_str_mv | AT zhangmengyuan opticalcoherencetomographyangiographyforvesselsegmentation |