采用图像叠加技术的激光扫描检眼镜可改良脉络膜新生血管的显影
Improved visualisation of choroidal neovascularisation by scanning laser ophthal moscope using image averaging作者机构:Jacobs Retina Center Department of OphthalmologyUniversity of California SanDiego 9415 Campus Point Drive San Diego CA 92093-0946 United States Dr.
出 版 物:《世界核心医学期刊文摘(眼科学分册)》 (Digest of the World Core Medical Journals:Ophthalmology)
年 卷 期:2005年第1卷第11期
页 面:31-31页
学科分类:1002[医学-临床医学] 100212[医学-眼科学] 10[医学]
主 题:脉络膜新生血管 激光扫描检眼镜 图像叠加 血管造影照片 老年性黄斑变性 吲哚青绿 荧光素 叠加图 盲法 观测者
摘 要:Aims: To improve visualisation of angiographic features in patients with age r elated macular degeneration associated with choroidal neovascularisation (CNV) a nd related complications. To evaluate if image averaging can achieve this goal. Methods: 27 eyes of 20 sequential patients with age related macular degeneration over a 3 month period were studied. Indocyanine green angiograms (ICGA), fluore scein angiograms (FA), and oral fluorescein angiograms were recorded with a conf ocal scanning laser ophthalmoscope. Software was used to average multiple images from a 10-20 image series (over 0.5-1.0 seconds). Image quality was assessed by two masked observers and graded on a scale of 0-3. A more quantifiable gradi ng method was devised by adding a variable amount of Gaussian noise to the impro ved image until the original and image averaged image appeared equal. Results: M asked review showed mild to strong improvement of visualisation of structures in cluding borders of CNV. Improvement varied depending on the type and phase of th e angiogram. Improvement was highest in late phase FA, mid and late phase ICGA, and all phases of oral FA. Conclusion: Image averaging using software based algo rithms improves the quality of angiographic images, particularly late ICGA image s and oral FAs. This method may assist in the visualisation of choroidal neovasc ularisation in age related macular degeneration.