Effect of image quality on tissue thickness measurements obtained with spectral domain-optical coherence tomography

Balasubramanian, Madhusudhanan; Bowd, Christopher; Vizzeri, Gianmarco; Weinreb, Robert N.; Zangwill, Linda M.

doi:10.1364/oe.17.004019

Cited by 80 publications

(72 citation statements)

References 20 publications

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“…The MSI parameters are not only useful for providing immediate feedback of signal quality to users during data acquisition, but they are also found to be important determinants of automated tissue layer segmentation accuracy. Several studies in time domain [5][6][7][8] and spectral domain 9,10 OCTs reported correlation between MSI values with retinal nerve fiber layer and retinal thickness measurements. In addition, manufacturers usually recommend a threshold for their MSI values, below which the automatic measurement results may not be reliable.…”

Section: Discussionmentioning

confidence: 99%

“…OCT scans were exported from the respective manufacturer software in raw format and analyzed using a custom-developed MATLAB program (Mathworks, Natick, MA). Procedures of exporting raw pixel values were similar to those used by other research groups, 10 and the data were saved in single (float) precision in MATLAB. Histogram plots were obtained by binning the pixel intensity into 512 steps of equal distance across the data range.…”

Section: Quantitative Assessmentmentioning

confidence: 99%

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Signal Quality Assessment of Retinal Optical Coherence Tomography Images

Huang

Gangaputra

Lee

et al. 2012

Invest. Ophthalmol. Vis. Sci.

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Section: Discussionmentioning

confidence: 99%

Section: Quantitative Assessmentmentioning

confidence: 99%

Signal Quality Assessment of Retinal Optical Coherence Tomography Images

Huang

Gangaputra

Lee

et al. 2012

Invest. Ophthalmol. Vis. Sci.

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“…Measurements were performed before and after anti-VEGF treatment. For images to be included in the present study, the signal-to-noise ratio (SNR) had to be at least 20 dB (considered best quality) and should be taken as close to the fovea as possible (thinnest macular point), with the understanding that slight differences in positioning affect the measured thicknesses (21) . Using the Spectralis linear measurement tool, two independent observers measured CT perpendicularly from the outer edge of the hyper-reflective RPE to the inner sclera at 500-mm intervals temporal and nasal to the fovea up to 1,000 mm.…”

Section: Choroidal Thickness Measurementmentioning

confidence: 99%

Effect of intravitreal anti-VEGF on choroidal thickness in patients with diabetic macular edema using spectral domain OCT

Kniggendorf¹,

Novais²,

Kniggendorf³

et al. 2016

Arquivos Brasileiros De Oftalmologia

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Approved by the following research ethics committee: UNIFESP (#1.093.853). ABSTRACTPurpose: To evaluate choroidal thickness (CT) using spectral domain optical coherence tomography (SD-OCT) imaging at baseline and 6 months after intravitreal anti-vascular endothelial growth factor (anti-VEGF) treatment in patients with diabetic macular edema (DME). Methods: A retrospective chart review was performed to identify patients with DME who underwent intravitreal injection of anti-VEGF (bevacizumab or ranibizumab) in a pro re nata (PRN) regimen. Subfoveal choroidal thickness was compared between values obtained at baseline and at 6-month follow-up visits. Results: Thirty-nine eyes (15 females, 24 males) from 39 patients were enrolled (mean age, 62.43 ± 8.7 years; range, 44-79 years). Twenty-three and 16 eyes were treated with ranibizumab and bevacizumab respectively. The mean number of anti-VEGF injections was 2.28 ± 1.27 (range, 1-5). Mean nasal, subfoveal, and temporal choroidal thickness (CT) measurements at baseline were 234.10 ± 8.63 μm, 246.89 ± 8.94 μm, and 238.12 ± 8.20 μm, respectively, and those at 6 months post-treatment were 210.46 ± 8.00 μm, 215.66 ± 8.29 μm, and 212.43 ± 8.14 μm, respectively. Significant differences in CT were observed between baseline and the 6-month follow-up at all measured points (p=0.0327). Conclusions: Over a 6-month period, the use of intravitreal anti-VEGF was associated with significant thinning of the choroid in patients with DME. The clinical significance of a thinner choroid in DME is currently unknown; however, it may contribute to long-term adverse effects on choroidal and retinal function, representing an area requiring future investigation.

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“…The simulated dataset consists of 100 images generated according to the proposed model with different values of peak signal to noise ratio (PSNR) (30,25,20, and 15 dB) (PSNR ¼ 10 log 10 fmax ðImageÞ 2 ∕E½ðNoiseÞ 2 g). Figure 3 presents an example of a simulated image.…”

Section: Datasetsmentioning

confidence: 99%

“…[17][18][19] In Ref. 20, authors showed that the instrument built-in segmentation software is relatively robust to the image quality and the noise may lower the accuracy of the RNFL layer thickness estimation. However, the detection of glaucoma progression with optical coherence tomography (OCT) remains a challenge because when assessing structural changes over time, it is difficult to discriminate between glaucomatous structural damage and measurement variability.…”

Section: Introductionmentioning

confidence: 99%

Glaucoma progression detection using nonlocal Markov random field prior

et al. 2014

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Abstract. Glaucoma is neurodegenerative disease characterized by distinctive changes in the optic nerve head and visual field. Without treatment, glaucoma can lead to permanent blindness. Therefore, monitoring glaucoma progression is important to detect uncontrolled disease and the possible need for therapy advancement. In this context, three-dimensional (3-D) spectral domain optical coherence tomography (SD-OCT) has been commonly used in the diagnosis and management of glaucoma patients. We present a new framework for detection of glaucoma progression using 3-D SD-OCT images. In contrast to previous works that use the retinal nerve fiber layer thickness measurement provided by commercially available instruments, we consider the whole 3-D volume for change detection. To account for the spatial voxel dependency, we propose the use of the Markov random field (MRF) model as a prior for the change detection map. In order to improve the robustness of the proposed approach, a nonlocal strategy was adopted to define the MRF energy function. To accommodate the presence of false-positive detection, we used a fuzzy logic approach to classify a 3-D SD-OCT image into a "non-progressing" or "progressing" glaucoma class. We compared the diagnostic performance of the proposed framework to the existing methods of progression detection.

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Effect of image quality on tissue thickness measurements obtained with spectral domain-optical coherence tomography

Cited by 80 publications

References 20 publications

Signal Quality Assessment of Retinal Optical Coherence Tomography Images

Signal Quality Assessment of Retinal Optical Coherence Tomography Images

Effect of intravitreal anti-VEGF on choroidal thickness in patients with diabetic macular edema using spectral domain OCT

Glaucoma progression detection using nonlocal Markov random field prior

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