Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study
AIM: To develop and evaluate a new fundus image optimization software based on red, green, blue channels (RGB) for the evaluation of age-related macular degeneration (AMD) in the Chinese population. METHODS: Fundus images that were diagnosed as AMD from the Shanghai Changfeng Study database were ana...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Press of International Journal of Ophthalmology (IJO PRESS)
2022-02-01
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| Series: | International Journal of Ophthalmology |
| Subjects: | |
| Online Access: | http://ies.ijo.cn/en_publish/2022/2/20220212.pdf |
| _version_ | 1818954549856043008 |
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| author | Jing-Jing Shen Rui Wang Li-Long Wang Chuan-Feng Lyu Shuo Liu Guo-Tong Xie Hai-Luan Zeng Ling-Yan Chen Min-Qian Shen Xin Gao Huan-Dong Lin Yuan-Zhi Yuan |
| author_facet | Jing-Jing Shen Rui Wang Li-Long Wang Chuan-Feng Lyu Shuo Liu Guo-Tong Xie Hai-Luan Zeng Ling-Yan Chen Min-Qian Shen Xin Gao Huan-Dong Lin Yuan-Zhi Yuan |
| author_sort | Jing-Jing Shen |
| collection | DOAJ |
| description | AIM: To develop and evaluate a new fundus image optimization software based on red, green, blue channels (RGB) for the evaluation of age-related macular degeneration (AMD) in the Chinese population. METHODS: Fundus images that were diagnosed as AMD from the Shanghai Changfeng Study database were analyzed to develop a standardized optimization procedure. Image brightness, contrast, and color balance were measured. Differences between central lesion area and normal retinal area under different image brightness, contrast, and color balance were observed. The optimal optimization parameters were determined based on the visual system to avoid image distortion. A paired-sample diagnostic test was used to evaluate the enhancement software. Fundus optical coherence tomography (OCT) was used as the gold standard. Diagnostic performances were compared between original images and optimized images using McNemar's test. RESULTS: A fundus image optimization procedure was developed using 86 fundus images of 74 subjects diagnosed with AMD. By observing gray-scale images, choroid can be best displayed in red channel and retina in green channel was found. There was limited information in blue channel. Totally 104 participants were included in the paired sample diagnostic test to assess the performance of the optimization software. After the image enhancement, sensitivity increased from 74% to 88% (P=0.008), specificity decreased slightly from 88% to 84% (P=0.500), and Youden index increased by 0.11. CONCLUSION: The standardized image optimization software increases diagnostic sensitivity and may help ophthalmologists in AMD diagnosis and screening. |
| first_indexed | 2024-12-20T10:23:56Z |
| format | Article |
| id | doaj.art-032bf219c279472fa38aa5ead0afc4b9 |
| institution | Directory Open Access Journal |
| issn | 2222-3959 2227-4898 |
| language | English |
| last_indexed | 2024-12-20T10:23:56Z |
| publishDate | 2022-02-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | International Journal of Ophthalmology |
| spelling | doaj.art-032bf219c279472fa38aa5ead0afc4b92022-12-21T19:43:51ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982022-02-0115226827510.18240/ijo.2022.02.1220220212Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng StudyJing-Jing Shen0Rui Wang1Li-Long Wang2Chuan-Feng Lyu3Shuo Liu4Guo-Tong Xie5Hai-Luan Zeng6Ling-Yan Chen7Min-Qian Shen8Xin Gao9Huan-Dong Lin10Yuan-Zhi Yuan11Yuan-Zhi Yuan. Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China. yuan.yuanzhi@zs-hospital.sh.cn; Huan-Dong Lin. Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai 200032, China. lin.huandong@zs-hospital.sh.cnPingan Technology (Shenzhen) Co., Ltd., Shenzhen 518029, Guangdong Province, ChinaPingan Technology (Shenzhen) Co., Ltd., Shenzhen 518029, Guangdong Province, ChinaPingan Technology (Shenzhen) Co., Ltd., Shenzhen 518029, Guangdong Province, ChinaPingan Technology (Shenzhen) Co., Ltd., Shenzhen 518029, Guangdong Province, ChinaPingan Technology (Shenzhen) Co., Ltd., Shenzhen 518029, Guangdong Province, ChinaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Fudan Institute for Metabolic Diseases, Shanghai 200032, ChinaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Fudan Institute for Metabolic Diseases, Shanghai 200032, ChinaDepartment of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Center for Evidence-based Medicine, Fudan University, Shanghai 200032, ChinaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Fudan Institute for Metabolic Diseases, Shanghai 200032, ChinaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Fudan Institute for Metabolic Diseases, Shanghai 200032, ChinaDepartment of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Center for Evidence-based Medicine, Fudan University, Shanghai 200032, ChinaAIM: To develop and evaluate a new fundus image optimization software based on red, green, blue channels (RGB) for the evaluation of age-related macular degeneration (AMD) in the Chinese population. METHODS: Fundus images that were diagnosed as AMD from the Shanghai Changfeng Study database were analyzed to develop a standardized optimization procedure. Image brightness, contrast, and color balance were measured. Differences between central lesion area and normal retinal area under different image brightness, contrast, and color balance were observed. The optimal optimization parameters were determined based on the visual system to avoid image distortion. A paired-sample diagnostic test was used to evaluate the enhancement software. Fundus optical coherence tomography (OCT) was used as the gold standard. Diagnostic performances were compared between original images and optimized images using McNemar's test. RESULTS: A fundus image optimization procedure was developed using 86 fundus images of 74 subjects diagnosed with AMD. By observing gray-scale images, choroid can be best displayed in red channel and retina in green channel was found. There was limited information in blue channel. Totally 104 participants were included in the paired sample diagnostic test to assess the performance of the optimization software. After the image enhancement, sensitivity increased from 74% to 88% (P=0.008), specificity decreased slightly from 88% to 84% (P=0.500), and Youden index increased by 0.11. CONCLUSION: The standardized image optimization software increases diagnostic sensitivity and may help ophthalmologists in AMD diagnosis and screening.http://ies.ijo.cn/en_publish/2022/2/20220212.pdfage-related macular degenerationimage enhancementimage optimizationretina |
| spellingShingle | Jing-Jing Shen Rui Wang Li-Long Wang Chuan-Feng Lyu Shuo Liu Guo-Tong Xie Hai-Luan Zeng Ling-Yan Chen Min-Qian Shen Xin Gao Huan-Dong Lin Yuan-Zhi Yuan Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study International Journal of Ophthalmology age-related macular degeneration image enhancement image optimization retina |
| title | Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study |
| title_full | Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study |
| title_fullStr | Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study |
| title_full_unstemmed | Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study |
| title_short | Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study |
| title_sort | image enhancement of color fundus photographs for age related macular degeneration the shanghai changfeng study |
| topic | age-related macular degeneration image enhancement image optimization retina |
| url | http://ies.ijo.cn/en_publish/2022/2/20220212.pdf |
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