共 23 条
Quantification of External Limiting Membrane Disruption Caused by Diabetic Macular Edema from SD-OCT
被引:38
作者:
Chen, Xinjian
[1
]
Zhang, Li
[1
]
Sohn, Elliott H.
[2
,3
,4
]
Lee, Kyungmoo
[1
]
Niemeijer, Meindert
[1
,2
,3
]
Chen, John
[2
,3
]
Sonka, Milan
[1
,2
,3
]
Abramoff, Michael D.
[1
,3
,4
,5
]
机构:
[1] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
[2] Univ Iowa, Dept Ophthalmol & Visual Sci, Iowa City, IA 52242 USA
[3] Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USA
[4] Iowa City Vet Assocat Hlth Care Syst, Vet Assoc Med Ctr, Iowa City, IA USA
[5] Inst Vis Res, Iowa City, IA USA
基金:
美国国家卫生研究院;
关键词:
OPTICAL COHERENCE TOMOGRAPHY;
VISUAL-ACUITY;
LAYER;
PATHOPHYSIOLOGY;
SEGMENTATION;
RESOLUTION;
IMAGES;
D O I:
10.1167/iovs.12-10083
中图分类号:
R77 [眼科学];
学科分类号:
100212 ;
摘要:
PURPOSE. Disruption of external limiting membrane (ELM) integrity on spectral-domain optical coherence tomography (SD-OCT) is associated with lower visual acuity outcomes in patients suffering from diabetic macular edema (DME). However, no automated methods to detect ELM and/or determine its integrity from SD-OCT exist. METHODS. Sixteen subjects diagnosed with clinically significant DME (CSME) were included and underwent macula-centered SD-OCT (512 x 19 x 496 voxels). Sixteen subjects without retinal thickening and normal acuity were also scanned (200 x 200 x 1024 voxels). Automated quantification of ELM disruption was achieved as follows. First, 11 surfaces were automatically segmented using our standard 3-D graph-search approach, and the subvolume between surface 6 and 11 containing the ELM region was flattened based on the segmented retinal pigment epithelium (RPE) layer. A second, edge-based graph-search surface-detection method segmented the ELM region in close proximity "above" the RPE, and each ELM A-scan was classified as disrupted or nondisrupted based on six texture features in the vicinity of the ELM surface. The vessel silhouettes were considered in the disruption classification process to avoid false detections of ELM disruption. RESULTS. In subjects with CSME, large areas of disrupted ELM were present. In normal subjects, ELM was largely intact. The mean and 95% confidence interval (CI) of the detected disruption area volume for normal and CSME subjects were mean(normal) = 0.00087 mm(3) and CInormal = (0.00074, 0.00100), and mean(CSME) = 0.00461 mm(3) and CICSME = (0.00347, 0.00576) mm(3), respectively. CONCLUSIONS. In this preliminary study, we were able to show that automated quantification of ELM disruption is feasible and can differentiate continuous ELM in normal subjects from disrupted ELM in subjects with CSME. We have started determining the relationships of quantitative ELM disruption markers to visual outcome in patients undergoing treatment for CSME. (Invest Ophthalmol Vis Sci. 2012;53:8042-8048) DOI: 10.1167/iovs.12-10083
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页码:8042 / 8048
页数:7
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