To present en face optical coherence tomography (OCT) images generated by graph-search theory algorithm-based custom software and examine correlation with other imaging modalities.
En face OCT images derived from high density OCT volumetric scans of 3 healthy subjects and 4 patients using a custom algorithm (graph-search theory) and commercial software (Heidelberg Eye Explorer software (Heidelberg Engineering)) were compared and correlated with near infrared reflectance, fundus autofluorescence, adaptive optics flood-illumination ophthalmoscopy (AO-FIO) and microperimetry.
Commercial software was unable to generate accurate en face OCT images in eyes with retinal pigment epithelium (RPE) pathology due to segmentation error at the level of Bruch’s membrane (BM). Accurate segmentation of the basal RPE and BM was achieved using custom software. The en face OCT images from eyes with isolated interdigitation or ellipsoid zone pathology were of similar quality between custom software and Heidelberg Eye Explorer software in the absence of any other significant outer retinal pathology. En face OCT images demonstrated angioid streaks, lesions of acute macular neuroretinopathy, hydroxychloroquine toxicity and Bietti crystalline deposits that correlated with other imaging modalities.
Graph-search theory algorithm helps to overcome the limitations of outer retinal segmentation inaccuracies in commercial software. En face OCT images can provide detailed topography of the reflectivity within a specific layer of the retina which correlates with other forms of fundus imaging. Our results highlight the need for standardization of image reflectivity to facilitate quantification of en face OCT images and longitudinal analysis.
Citation: Sampson DM, Alonso-Caneiro D, Chew AL, Lamey T, McLaren T, De Roach J, et al. (2016) Enhanced Visualization of Subtle Outer Retinal Pathology by En Face Optical Coherence Tomography and Correlation with Multi-Modal Imaging. PLoS ONE 11(12): e0168275. https://doi.org/10.1371/journal.pone.0168275
Editor: Alfred S. Lewin, University of Florida, UNITED STATES
Received: September 13, 2016; Accepted: November 29, 2016; Published: December 13, 2016
Copyright: © 2016 Sampson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper.
Funding: This study was supported by the Ophthalmic Research Institute of Australia (DMS, FKC); Global Ophthalmology Award Program Bayer (FKC); National Health & Medical Research Council (Early Career Fellowship; APP1054712, FKC; Equipment Grant: 37812900, FKC); Retina Australia (FKC, JDR, TL, TM); and Health Department of Western Australia (FKC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Diseases of the human retina can affect a single layer of this multi-layered semi-transparent tissue. The varying impact of diseased retinal tissue on absorption, scattering, fluorescence and reflection of light as seen en face through bio-microscopy provides important clues in differential diagnosis of retinal diseases. Capitalizing on these optical properties, multimodal retinal imaging has evolved into the standard of care .
The most common retinal imaging modalities are: color fundus photography, near-infrared reflectance (NIR), fundus autofluorescence (FAF), fluorescence angiography (FA) and scanning-laser ophthalmoscopy (SLO) . However, these modalities can only provide two-dimensional en face images which cannot reveal subtle alteration within a single layer of the retina . In the last 2 decades, optical coherence tomography (OCT) has become an indispensable retinal imaging modality because it captures a three-dimensional image of the retina . However, direct comparison between the en face images obtained from NIR, FAF, FA, SLO and the cross-sectional OCT images is not possible because these imaging planes are orthogonal . Such limitation can be overcome by alignment of consecutive OCT scans, volume reconstruction and retinal layer segmentation to generate an en face image of each layer of the retina [5–18]. Various terminologies have been used to describe this method of OCT images visualization, including C-scan , OCT fundus image , projection OCT fundus  and en face OCT . In this paper, the term “en face OCT” will be used to encompass all these concepts. The increased scattering and reflection of the infrared light from OCT at the level of the retinal nerve fiber layer, inner and outer plexiform layers and the four outer retinal bands (external limiting membrane, ellipsoid zone, interdigitation zone and retina pigment epithelium-Bruch’s membrane complex) have been used to generate en face OCT images to detect subclinical disease. En face OCT images have been correlated with fundus photography [10,14,20–22], SLO , fluorescein angiography [10,14], fundus autofluorescence [19,23] and functional measures [19,24]. However, the ability to reconstruct en face view from OCT scans in diseased retina is limited by frequent segmentation error in the identification of the retinal pigment epithelium and Bruch’s membrane. Furthermore, correlation between lesions seen in en face OCT image with pathology seen on multimodal imaging is lacking.
Herein we describe a custom software that incorporates a graph-search theory based algorithm to generate en face OCT images of the outer retinal layers from OCT B-scans acquired from a commercial spectral domain (SD) OCT device. We determine the optimal image acquisition protocol for generating en face OCT images of adequate quality and compare the segmentation results between the custom software and commercial software. Finally, we use four unique retinal diseases to illustrate the utility of en face OCT image by correlating with SLO-derived reflectance (NIR), autofluorescence (infrared autofluorescence, IRAF; blue-light autofluorescence, BAF), microperimetry and adaptive optics flood-illumination ophthalmoscopy (AO-FIO).
Materials and Methods
This study was approved by The University of Western Australia Human Ethics Research Office (RA/4/1/7916) and written informed consent was obtained from all subjects.
Retinal images of subjects prospectively enrolled into the Western Australian Retinal Degeneration Study were used for analysis. Images from three healthy controls were chosen for optimization of OCT image acquisition protocol in order to maximize en face image quality with minimum raster density. Retinal images from four patients with various types of retinal diseases were selected to illustrate the utility of en face OCT reconstruction in four unique clinical scenarios (Table 1): (1) clearly visible lesion on SLO but no obvious lesion on OCT B-scans (angioid streaks in pseudoxanthoma elasticum), (2) subtle lesions on both SLO and OCT B-scans (acute macular neuroretinopathy), (3) no obvious lesions on either SLO or OCT B-scans (early hydroxychloroquine toxicity) and (4) no obvious lesion on SLO but clearly visible lesion on OCT B-scans (Bietti crystalline dystrophy).
Clinical assessment and diagnosis
All subjects underwent best-corrected visual acuity testing using the Early Treatment Diabetic Retinopathy Study (ETDRS) letter chart and full ophthalmic examination. Comprehensive retinal imaging included a volumetric dense raster OCT scan, SLO (fundus reflectance and autofluorescence), adaptive optics ophthalmoscopy and microperimetry. If inherited retinal disease was suspected, blood was obtained for genetic testing. Diagnosis was based on multimodal imaging and genetic test results if available.
Mutation analysis and variant interpretation
Collection, extraction and storage of DNA was carried out as described in . Proband DNA (50ng/μL) was analysed by Sanger sequencing of coding and flanking intronic regions of relevant genes: ABCC6 (OMIM 603234; NM_001171.5) for Case 1 and CYP4V2 (OMIM 608614; NM_207352.3) for Case 4. CYP4V2 was also analysed by MLPA for copy number variation. Family member DNA was subsequently analysed by targeted sequencing. Analysis of ABCC6 and CYP4V2 was performed by the Netherlands Institute for Neuroscience (NIN; Amsterdam) and Casey Eye Institute (CEI) Molecular Diagnostics Laboratory (Oregon, USA) respectively. Pathogenicity assessment of identified variants was performed by the Australian Inherited Retinal Disease Register and DNA Bank (AIRDR) in accordance with American College of Medical Genetics guidelines : In silico predictions, allele frequencies, scientific literature and clinical diagnoses were considered accordingly. In silico predictions for missense variants were made using the online tools, Mutation Taster, Align GVGD , PolyPhen2 , and SIFT . Allele frequency was assessed using ExAC Browser . Pathogenicity assessment of Indel and nonsense variants was based on the likelihood of nonsense-mediated decay . Variant information within online databases, Human Gene Mutation Database  and dbSNP  was also considered.
We used a Heidelberg Spectralis spectral domain optical coherence tomography (SD-OCT) device (Heidelberg Engineering, Germany) to acquire sets of cross-sectional images of the human retina. The system operates at 40,000 A-scans per second and comprises a superluminescent diode, with a central wavelength of 870 nm and a bandwidth of 85 nm. It provides an axial resolution of 3.9 μm in tissue and the diameter of the beam spot at the retinal plane is around 14 μm (lateral resolution). The images were collected using the automatic retinal tracking (ART) mode to ensure that all B-scans within the imaging area of interest were aligned with NIR SLO image irrespective of eye movements. In this mode 9 B-scan frames were acquired and averaged at each retinal location. Motion artefacts and noise reduction were corrected in real time.
The choice of the optimal clinically feasible scanning protocol is a compromise between the time required to obtain the volumetric dataset (to reduce subject’s fatigue), the field of view (FOV) and the spatial resolution of the volume scan. For patient comfort and reduced light exposure, the imaging time should be kept to a minimum by reducing the number of B-scans. However, sparsely-spaced B-scans will increase the chance of missing small retinal lesions. Conversely, densely-spaced B-scan will provide better resolution of the en face image but this increases acquisition time. To determine the optimal scanning protocol that balances acquisition time against adequate detail on en face OCT images, we created en face maps from OCT B-scans at varying separation. All available 3D protocols and the times required for OCT acquisition are listed in Table 2. Fig 1 shows the varying quality of reconstructed en face OCT images obtained from protocol 1 in which a 15° × 10° FOV in the central macular region is scanned using 5 different raster densities (ranging from 13 to 261 horizontal B-scan slices across the 2.9 mm vertical range).
En face optical coherence tomography images of the ellipsoid zone (A-I:V), interdigitation zone (B-I:V), retinal pigment epithelium (C-I:V) and Bruch’s membrane (D-I:V). Images from the first 3 columns are from a normal subject and the last column is from a patient with Bietti crystalline dystrophy. The scanning protocol covers a 15° (horizontal) × 10° (vertical) field of view on the retina. Each row (I:V) corresponds to increasing separation between consecutive B-scans: 11, 30, 60, 120 and 240 μm.
Fig 1 illustrates that a separation distance of 11–30 μm between B-scans provides the best en face OCT image quality in contrast to the pixelated image using a B-scan separation of 120–240 μm. Given that there is a 3-fold difference in acquisition time between 11 μm and 30 μm protocols we chose the 97 horizontal slice protocol for a small FOV of 15° × 10°, to limit the acquisition time to a maximum of 1 minute. For a larger FOV of 20° × 20°, a compromise in image quality may be needed by increasing separation between B-scans to 60 μm. This is because scanning at 30 μm separation results in an unacceptably long scanning time of approximately 2 minutes.
Segmentation of retinal layers and en face maps generation.
Custom-written software was used to analyze the OCT data from each subject. Automated segmentation methods based upon graph-search theory [12,34] were used to extract layers of interest in each image, after which an experienced masked observer verified the integrity of the automated segmentation of each of the boundaries of interest and manually corrected any segmentation errors as required. For this study, up to three retinal sublayers were segmented to extract a retinal region of interest including ellipsoid zone (EZ), interdigitation zone (IZ) and retinal pigment epithelium-Bruch’s membrane complex (RPE-BM). Fig 2 shows the image processing steps for an adult subject with acquired vitelliform lesions.
A 20° × 20° Near-infrared reflectance image NIR image (A) showing the region of the volumetric dense raster scan (black rectangle) and the location of the horizontal OCT B-scan (white line). Unprocessed OCT scan showed irregular elevation of the ellipsoid line due to a vitelliform lesion (B). Three layers of interest were segmented in this B-scan (C). The B-scan contrast is enhanced to reduce image quality variation between B-scans within the raster scan set (D). Using the base of the retinal pigment epithelium as a reference layer, the B-scan is flattened and a parallel boundary is chosen for creating a slab of pixels for generating the en face OCT image (E). The same procedure is repeated for consecutive B-scans to generate a reflectivity profile across the scanning area. The en face OCT image can be overlaid on the NIR image (F).
After retinal layer segmentation (Fig 2C), a contrast-limited adaptive histogram is applied to the image, to reduce inter B-scan variation in reflectivity (Fig 2D) . The contrast can be limited to avoid amplification of noise. In the next step, the cross sectional image is flattened (Fig 2E) using the base of the RPE as a reference. To flatten the image, each A-scan (image column) is circularly shifted to set the reference boundary as the central part of the image. This flattening operation ensures the reference layer is located at the same depth across the volumetric scan. Thus, the en face OCT image can be created by extraction of the key region of interest within the volume matrix relative to the base of the RPE. Pixel layers above or below the reference layer can be cropped and averaged to generate one line of the en face OCT map. After repeating this for all of the B-scans in the volume scan set and ensuring correct spacing and alignment, a 2 dimensional reflectivity profile or en face OCT image is generated (Fig 2F). This profile can be derived from a single pixel (a plane) or stacks of pixels (a slab) across the macular region. For a slab of pixels, a range of operation (i.e. mean, sum, median, minimum or maximum) can be used to generate the reflectivity intensities of the vertical stack of pixels at each location of the en face OCT image. The choice of these visualization techniques depends on the thickness of the slab and the pathological feature. For example, minimum intensity projection may be used to highlight pathology that reduces reflectivity within a slab that is uniformly hyper-reflective (EZ, IZ or RPE) whereas maximum intensity project may be used to highlight hyper-reflective lesions within the hypo-reflective inner and outer nuclear layers. Mean intensity projection is the most common method to generate en face maps and is used in this study. The EZ en face map is generated from pixel layers between the automatically segmented top boundary of EZ and manually selected bottom boundary of EZ (~5 pixels below EZ contour). IZ en face map is generated from pixel layers between the automatically segmented bottom boundary of IZ and manually selected top boundary of IZ (~5 pixels above IZ contour). RPE en face map is generated from pixel layers between the automatically segmented bottom boundary of RPE and manually selected top boundary of RPE (~8 pixels above RPE contour).
Heidelberg Eye Explorer software for en face map generation.
The Heidelberg Eye Explorer software (Heidelberg Eye Explorer, version 18.104.22.168; Heidelberg Engineering) allows for en face visualization of outer retinal layers. However, segmentation lines for generating en face OCT image can only be aligned to automated segmentation line demarcating BM or internal limiting membrane. Manual adjustment in these segmentation lines is possible, however very much time consuming.
Confocal scanning laser ophthalmoscopy was used to obtain 30° fields of view retinal (FOV) images (Heidelberg Engineering, Germany). We used 3 spectra: near-infrared reflectance (at 820 nm), blue-light autofluorescence (excitation at 488 nm and emission >510 nm), and infrared autofluorescence (excitation at 785 nm and emission: 805–840 nm).
Microperimetry was performed prior to any retinal imaging or examination using the fundus-controlled microperimeter MAIA (Centervue, Padova, Italy). Pupils were dilated with tropicamide 1% and phenylephrine 2.5%. Testing was conducted in a darkened room after 5 minutes of dark adaptation. A 4–2 staircase strategy was used to determine retinal sensitivity thresholds to the nearest 1dB.
Adaptive optics imaging
Perifoveal cone photoreceptor tips were visualized using an adaptive optics flood-illumination ophthalmoscope (AO-FIO, rtx1, Imagine Eyes, Orsay, France). During a single measurement, 40 images are acquired in the same location over 4 seconds. Increased signal-to-noise ratio in the final AO image is achieved by selection, registration and averaging of up to 40 raw AO images. Each AO image covers a 4° × 4° FOV (750 × 750 pixels–oversampled to 1500 × 1500 pixels) region in the retina; approximately 1.2 × 1.2 mm. To cover a larger area of the retina 8 to 20 adjacent AO image frames were acquired with a 1°–2° region of overlap. Foveal cone tips are not visible on the rtx1 device because the resolution of the system is only 250 line pairs per mm. Therefore, cone identification within 2.5° from the foveal center is unreliable and not suitable for quantification .
Photoreceptors within each AO-FIO images were identified using the AO Detect software provided by the instrument manufacturer. This software automatically detects the central coordinates of small circular spots whose brightness are higher than the surrounding background level. Results are provided in the form of two images, one that visualizes the cones and the second that presents a color-coded density map of cones. These image sets were then montaged using the MosaicJ plugin available in ImageJ software .
Comparison and registration between all modalities
Different imaging modalities were compared by alignment against retinal vascular patterns. We compared: 1) NIR and AF with en face OCT images for each outer retinal layer; 2) AO-FIO images with en face OCT images of the EZ and IZ; and 3) microperimetry with adaptive optics and en face OCT images.
Healthy control subjects
Fig 3 shows images obtained from the left eye of a 33 year old female control subject. All images displayed homogeneous signal without significant variation. Retinal vasculature visibility was enhanced in the EZ and IZ en face OCT images due to shadowing effects. The foveal center appeared hypo-reflective, relative to the surrounding perifoveal retina in NIR, EZ and IZ en face OCT images due to elevation and attenuation of the EZ and IZ lines at the fovea externa.
Multimodal imaging of the left eye of a healthy subject showing normal 15° × 10° Near-infrared reflectance NIR (A), infrared autofluorescence IRAF (B), microperimetry (C), blue-light autofluorescence BAF (D), adaptive optics flood illumination ophthalmoscopy AO-FIO cone montage and density maps overlaid on NIR (E,F), and en face OCT maps of the ellipsoid zone EZ (G), interdigitation zone IZ (H), and retinal pigment epithelium RPE (I). HE, Heidelberg Eye Explorer software (Heidelberg Engineering); CU, Custom-built software using graph-search theory algorithm. White dotted rectangle corresponds to region for which en face maps are generated.
Case 1: Well-defined lesion on SLO but not on OCT B-scan
A 42 year old female was referred for assessment of asymptomatic retinal lesions. Best-corrected visual acuity was 87 and 86 letters in the right and left eyes respectively. Dilated fundus examination revealed irregular, linear, dark red streaks extending away from the optic disc and peau d’orange lesions temporally in each eye (Fig 4). Given the history of presumed pseudoxanthoma elasticum in her sister, genetic testing was performed.
Near-infrared reflectance NIR (A), infrared autofluorescence IRAF (B), microperimetry (C), blue-light autofluorescence BAF (D), and adaptive optics flood illumination ophthalmoscopy AO-FIO cone montage and density maps overlaid on NIR image (E, F) of the central 15° × 10° showing the angioid streaks as irregular linear hypo-reflective lesions. The occasional streaks showing hypo-autofluorescence, relative scotoma in regions unaffected by angioid streaks and cone tip reflexes within the region of angioid streaks. Microperimetry overlaid on cone tip reflex montage (G) showed reduced cone densities compared with normative values, both in regions with reduced (H:I) and normal sensitivity (H:II-III). B-scans flattened to the base of retinal pigment epithelium RPE (I) are used for generating en face OCT images of the ellipsoid zone (J), apical portion of the RPE (K) and basal portion of the RPE (L). Inaccuracy in automated segmentation of the basal RPE by HE resulted in artefact in the ellipsoid zone and RPE en face OCT images (red arrow in K, L and M). The linear pattern of angioid streaks were only visible in the en face OCT image derived from the basal portion of the RPE (L). HE, Heidelberg Eye Explorer software (Heidelberg Engineering); CU, Custom-built software using graph-search theory algorithm. White dotted rectangle corresponds to region for which en face OCT images are generated.
Two pathogenic changes in the ABCC6 gene were identified, which together would result in the complete absence of the ABCC6 protein due to nonsense mediated decay. The previously reported nonsense variant, c.3421C>T (rsID: rs72653706; HGMD: CM001043) is considered a rare pathogenic allele encoding a premature stop codon (p.Arg1141*), whilst the large, novel deletion, c.2996_4208del would result in a frameshift and premature truncation of the encoded protein product (p.Ile1000Trpfs*60).
NIR imaging enhanced visualization of angioid streaks as hypo-reflective (dark) branching lines radiating from the optic disc and hypo-reflective spots in the temporal and superior perifoveal region. Some of the streaks in the fovea were also visible on IRAF but most streaks were not seen on BAF imaging except in regions of RPE loss. AO-FIO demonstrated relatively densely packed cone tip reflexes even within the region of angioid streaks. However, microperimetry showed relative scotoma (< 27 dB) within the fovea even in regions unaffected by angioid streaks as seen on AO-FIO and normal appearance and thickness of the outer retinal layers on OCT scan. En face OCT images of the EZ and RPE were generated using both the built-in 3D-view module in the commercial software and custom segmentation software.
Commercial software was able to align segmentation lines with the base of the RPE except in the region of a pigment epithelial detachment (PED). This precluded accurate visualization of EZ and RPE en face OCT images overlying the PED. In contrast, our custom segmentation algorithm flattened the B-scan to the base of the RPE, thus negating the effect of the RPE elevation at the PED lesion. Compared to commercial software, our custom software produced an en face OCT image of the basal portion of the RPE layer that more closely resembles the pattern of angioid streaks seen with NIR and AO-FIO (Fig 4).
Case 2: Subtle lesions on both SLO and OCT B-scan
A 49 year old female presented with a 4-week history of acute onset paracentral scotoma in her left eye. Best-corrected visual acuities were 85 and 71 letters in the right and left eyes respectively. Anterior segment examination was normal. Fundus examination showed a slightly reddish wedge-shaped lesion superior to the fovea in the left eye and this corresponded to a hypo-reflective lesion on NIR imaging. AF was normal. OCT B-scan revealed focal loss of IZ signal and attenuation of the EZ integrity in the region of the wedge-shape lesion (Fig 5). There were no other obvious retinal or choroidal changes adjacent to these regions. Microperimetry demonstrated two loci with reduced retinal sensitivity in the supero-temporal fovea corresponding to the wedge-shaped lesion seen on NIR imaging. However, there were also other test loci infero-nasally and infero-temporally at 3° eccentricity with reduced retinal sensitivity. AO-FIO demonstrated loss of cone reflexes not only within the wedge-shaped lesion but also at other regions that coincided with relative scotoma (Fig 5). En face OCT images of EZ and IZ showed low reflectivity profile that corresponded to the regions of cone reflex loss on AO-FIO. Hence, there were several lesions that were visible on the en face OCT image which were not on NIR.
Multimodal imaging showing the left eye of Case 2: acute macular neuroretinopathy at presentation (A-G), and 6 months (H-N) of follow-up. Near-infrared reflectance NIR (A,H), adaptive optics flood illumination ophthalmoscopy AO-FIO density map overlaid on NIR (B,I,) and magnified cone images (D,K), microperimetry (C,J), OCT B-scans in the region of relative scotoma (E,L) and en face OCT images of ellipsoid (F,M), and interdigitation zones (G,N) showed partial recovery. Both commercial and custom software were able to demonstrate the topography of ellipsoid and interdigitation zone injury.
On follow up at 6 months, serial OCT demonstrated partial recovery of the integrity of the EZ and IZ in the affected regions and improved visualization of cone tip reflexes on AO-FIO. There was improvement in retinal sensitivity from 7 to 27 dB and some of the defects seen on en face OCT images of EZ and IZ resolved. The main wedge-shaped lesion also reduced in size over the 6 months (Fig 5). There was no significant difference in the en face OCT images generated by commercial and our custom software in illustrating the course of AMN recovery since retinal segmentation were almost identical.
Case 3: No obvious lesions in either SLO or OCT
A 53 year old female with rheumatoid arthritis presented for screening of hydroxychloroquine (HCQ) toxicity. She had been using HCQ for 16 years with a cumulative dose of 2275 mg and an daily dose of 6.45 mg/kg body weight. A 10–2 Humphrey visual field (HVF) test with a white target demonstrated a partial ring scotoma superior to fixation in both eyes. There was no abnormality on AF. NIR imaging showed a subtle ring of relative hyper-reflectance in the foveal zone (Fig 6).
20° × 20° Near-infrared reflectance NIR (A) reveals a subtle hyper-reflective foveal signal while infrared autofluorescence IRAF (B), microperimetry (C) and blue-light autofluorescence BAF (D) are within normal limits. Adaptive optics flood illumination ophthalmoscopy AO-FIO density map overlaid on NIR (E) and cone image (F) reveals a transition zone in the parafovea where cone reflexes are lost (E). OCT B-scan (G) through the foveal center demonstrates preserved (i.) and attenuated (ii.) interdigitation zone at parafovea. The en face OCT image reveals a para- and perifoveal concentric zone of reduced reflectivity from the ellipsoid zone EZ (H) and the interdigitation zone IZ (I). Retinal pigment epithelium RPE layer en face OCT appeared normal (J). In this case, HE is able to accurately identify the contour of Bruch’s membrane and hence the en face OCT images are similar to the one generated by our custom software (CU). White dotted square corresponds to region for which en face maps are generated.
AO-FIO revealed absence of normal cone reflexes in the parafoveal region compared to an adjacent area of well-visualized cone reflexes closer to the fovea. Structural abnormality was confirmed on OCT, with subtle attenuation of the IZ and EZ. En face OCT images of the EZ and IZ layers revealed that this attenuation spared the foveal zone at both levels. The reflectivity profile of the RPE was normal throughout the corresponding retinal region. The patient was advised to cease HCQ.
Case 4: Well-defined lesion on OCT but not on SLO
A 51 year old female presented with a 15 year history of nyctalopia and peripheral vision loss. Her parents and her brothers were unaffected. The best-corrected visual acuities were 71 and 75 letters in the right and left eyes respectively. There were limbal crystalline deposits in both corneas and numerous refractile subretinal deposits. Widespread retinal and choroidal atrophy were noted. Genetic testing was performed to confirm Bietti crystalline dystrophy (BCD).
Two previously reported, biallelic missense variants were found in the CYP4V2 gene. The respective paternally and maternally inherited variants, c.1168C>T (rsID: rs776616377; HGMD: CM119423) and c.1198C>T (rsID: rs138444697; HGMD: CM074768), result in arginine to cysteine amino acid substitutions, p.Arg390Cys and p.Arg400Cys, respectively. These rare variants are predicted to be disease-causing by in silico modelling and taken together, are considered the likely primary disease variants.
NIR imaging demonstrated small punctate hyper-reflective lesions corresponding to the retinal crystals (Fig 7). However, neither NIR nor AF were able to reveal the boundary of the preserved foveal island of RPE. AO-FIO was unable to illustrate cone tip reflex due to poor image signal related to interference from crystalline deposits at the level of BM. Preservation of cone photoreceptors was inferred from the presence of retinal sensitivity on microperimetry at the foveal center. This island of vision was surrounded by a ring of dense scotoma encroaching into test loci at 1° from fixation in the right eye, and 2° from fixation in the left eye. There was extensive outer retinal and RPE atrophy on OCT beyond 2° of eccentricity. Electrophysiology demonstrated residual photoreceptor function, more so in the left eye (not shown). En face OCT images of the EZ and RPE were generated using both the built-in 3D-view module in the Heidelberg software and our custom segmentation software.
Although crystals are seen, the boundary of retinal degeneration is not clearly visualized on Near-infrared reflectance NIR (A), infrared autofluorescence IRAF (B) or blue-light autofluorescence BAF (C). Microperimetry (D) demonstrates preserved retinal sensitivity within 1° of the center of fixation indicating the presence of foveal photoreceptor cells supported by an island of RPE. Crystals are also visualized with adaptive optics flood-illumination ophthalmoscopy AO-FIO (E) but the poor signal from cones precluded AO-FIO cone density mapping (F). The OCT B-scans (G) reveal atrophy of the RPE and outer retinal layers. As a direct consequence, the errors in automated segmentation of the Bruch’s membrane by HE lead to artefacts in the en face OCT images of the ellipsoid-RPE slab (H-HE) and the Bruch’s membrane (I-HE). Our custom algorithm was able to generate ellipsoid-RPE (H-CU) and Bruch’s membrane (I-CU) en face OCT images. The well-defined central island of ellipsoid-RPE correlated well with the region of retinal sensitivity on microperimetry (J). The distribution of crystals seen on AO imaging (E, yellow arrows) mirrors the lesions seen on en face OCT of Bruch’s membrane (I-CU, K, yellow arrows).
Owing to the disrupted outer retinal architecture, the commercial software was not able to automatically identify the contour of BM accurately, resulting in en face OCT images that display jumbled information from different retinal layers. To visualize EZ-RPE, OCT B-scans were flattened with reference to the BM so that a parallel slab of the EZ and RPE layers can be isolated for creating en face OCT image (Fig 7). A central island of preserved RPE reflectivity was demonstrated using custom software and the boundary of this region encompassed retinal loci with preserved sensitivity. In this case, AO-FIO was unable to verify the preservation of photoreceptors because foveal cones are not resolved by the rtx1 camera system.
We developed a graph-search theory algorithm-based method to generate en face OCT images of the outer retinal layers. In a pilot study of normal eyes, we demonstrated the rationale for selecting an image acquisition protocol for deriving optimal en face OCT images. In four unique cases of retinal diseases, we illustrated the utility of en face OCT images generated by our custom software in clarifying apparent mismatch between NIR, FAF, OCT, AO-FIO and microperimetry.
We demonstrated that en face OCT image resolution is improved by reducing the separation between B-scans. In recognition of this relationship, the tested commercial software will only generate en face OCT images from volume scans with OCT B-scan separation of 60 μm or less. For a smaller scanning area, a B-scan separation of 30 μm is feasible but for a larger area, a B-scan separation of 60 μm is more appropriate due to prolonged image acquisition time. In support of our recommendation, Hariri et al. also demonstrated good inter-grader agreement in lesion size measurement on the EZ en face OCT image can be achieved by 20° × 20° volume scans with 60 μm B-scan separation . However, it is not known if the repeatability of en face OCT image parameters is dependent on scanning density. We noted that some en face OCT images had horizontal bands of reduced reflectivity and this is partially corrected by our custom software through the incorporation of an additional step of contrast enhancement of the B-scan set. However, standardized techniques to minimize the variation in B-scan reflectivity across the scanning area will be required to enable inter-session and inter-individual comparison of quantitative en face OCT image analysis.
Previous reports have demonstrated that angioid streaks co-localized with focal discontinuity in the BM with varying effect on the overlying RPE layer . However, not all angioid streaks seen on NIR correspond to a visible abnormality in the RPE-BM complex on SD-OCT . We were able to demonstrate co-localization of angioid streaks on NIR with hypo-reflective pixels within the basal portion of apparently normal RPE-BM complex . This is consistent with the understanding that both RPE and BM contributes to the “RPE” hyper-reflective band on SD-OCT. Moreover, angioid streaks were also visible on IRAF and this is consistent with previous histological studies that showed reduced melanin in the RPE cells overlying these streaks. Given that melanin within the RPE is predominantly located in the apical side, it is surprising that en face OCT of the apical pixels of the RPE-BM complex did not demonstrate angioid streaks. RPE over these streaks may degenerate over time resulting in loss of RPE and hypo-autofluorescence on BAF. We also demonstrated subtle reduction in foveal retinal sensitivity in regions unaffected by angioid streaks. Although cone tip reflexes were seen within the angioid streaks, there was an overall reduction in cone density. Therefore, we postulate that the reduced retinal function in the foveal region may be related to ectopic mineralization of the BM rather than the actual presence of angioid streaks.
Both AMN and early HCQ toxicity affect the IZ with variable EZ involvement. Outer nuclear layer thickness may be reduced with more severe damage to the photoreceptors. Although clinically visible as a dark red wedge-shaped lesion pointing towards the fovea, we demonstrated that subclinical lesions in AMN can surround other portion of the parafovea. Prompted by the unexpected finding of retinal sensitivity loss in test loci remote from the wedge-shaped lesion, we identified and confirmed satellite lesions through AO-FIO and en face OCT images of the IZ and EZ. These satellite lesions were not visible on OCT B-scan because there was only minimal attenuation of IZ reflectivity. Follow up en face OCT image, AO-FIO and microperimetry demonstrate partial recovery of function and structure over a 6 month period. In contrast to the case reported by Affortit et al., we illustrated the utility of en face OCT imaging in identifying AMN lesions that were not visible on NIR . In the case of suspected HCQ toxicity based on perifoveal loss of sensitivity on Humphrey visual field test, SD-OCT showed relatively intact EZ but subtle thinning of IZ in the parafoveal region. There was no classical flying saucer sign of HCQ toxicity in which loss of EZ is accompanied by gross thinning of the outer nuclear layer. Although BAF showed no abnormality, NIR demonstrated a zone of relative hyper-reflectivity within the fovea. The peri- and parafoveal localization of IZ pathology was confirmed by the AO-FIO finding of sharp reduction in cone density. The loss of reflectivity of EZ and IZ in the perifoveal region as seen on the en face OCT image correlated with the perifoveal hypo-reflectivity on NIR. Unlike the case presented by Itoh et al., we demonstrated abnormalities in both IZ and EZ en face OCT images generated from relatively normal appearing SD-OCT B-scans .
In many rod cone dystrophies, the region of residual foveal photoreceptor can be readily quantified by IRAF or BAF signal arising from the residual island of RPE. However, in the case of BCD, the residual island was not readily visible on either form of AF imaging or NIR imaging despite clear evidence of preservation on SD-OCT B-scan. Unfortunately, AO-FIO systems also do not have adequate resolution to visualize the cones within 2° of the foveal center. To quantify the area of residual island of RPE or photoreceptors, we created EZ-RPE en face OCT images to highlight the boundaries of this region. The pattern of preserved reflectivity of these layers co-localized with the distribution of preserved retinal sensitivities on microperimetry. This method of visualizing residual photoreceptors in BCD could be a useful tool in corroborating the functional deficits seen on microperimetry and monitoring disease progression rates. Visualization of the crystalline deposits in BCD on OCT B-scans can also be enhanced by en face OCT image of the BM. However, these crystals only occupy a small number of pixels and therefore AO-FIO may be more suitable given the superior resolution. Nevertheless, our en face OCT image of the RPE-BM complex confirmed that the location of these crystalline deposit is at the BM as previously reported . It may be useful to monitor the topographic changes in the distribution of crystals occurring at BM with serial en face OCT imaging as it has been described previously that retinal atrophy is preceded by disappearance of the crystals .
There are several limitations in our method of generating en face OCT images. Firstly, high density volumetric OCT scanning is necessary (maximum of 60 micron separation to generate reasonable quality en face OCT image). For some patients the imaging time required to collect volumetric datasets with inter-B-scab distances equal to or less than 60 microns can be unacceptably long and this can result in more motion artifacts. Second, despite improved segmentation accuracy using the graph-search theory algorithm, errors in identifying BM or the base of RPE can still occur. Amongst subjects presented in this paper, manual correction of segmentation errors was necessary in Cases 1(angioid streaks) and 4 (Bietti crystalline dystrophy). For Case 1, 8 B-scans from the set of 97 had to be corrected at the level of ellipsoid zone, no correction was required for the IZ or RPE. Using Heidelberg software, 35 B-scans required manual correction for accurate generation of EZ and IZ maps and 2 B-scans at level of RPE. For case 4, 22 B-scans from the set of 271 had to be corrected at the level of Bruch Membrane using our software and all B-scans had to be corrected using commercial software.
The graph-search theory algorithm may be adapted to take into account the effect of the pathology on the OCT image [46,47], but despite the application of contrast-limited adaptive histogram to the B-scans to reduce variations in image quality, artefacts in the en face OCT image cannot be entirely removed. This leads to difficulty in standardization of the image brightness and defining pixel layers above BM that should be used to generated RPE, IZ and EZ en face OCT image. Finally, we only have a small number of patients but the purpose of our study is to illustrate the potential clinical utility rather than to determine the prevalence of specific lesions. Further studies are required to examine the feasibility of incorporating this method of visualizing OCT scans into routine clinical care given the prolonged time required to process the B-scans and generate the en face OCT images.
We have developed an image processing tool that provides more flexibility during the reconstruction of en face OCT images. We illustrate the clinical utility of the software in patients with subtle lesions on OCT and SLO but clear abnormality on AO-FIO and microperimetry. Future work is needed in standardizing image reflectivity such as introducing an attenuation coefficient of the tissue  which will assist with quantification of reflectivity of each layer and longitudinal analysis of age related and pathological changes over time.
The authors would like to acknowledge Retina Australia for funding DNA collection and analysis, the philanthropic support from the Saleeba, Constantine and Miocevich families and an equipment grant from the Australian Foundation for the Prevention of Blindness Trust.
- Conceptualization: FKC DMS.
- Data curation: DMS DAC FKC ALC TL TM.
- Formal analysis: DMS ALC DAC FKC TL TM.
- Funding acquisition: FKC DMS JDR TL TM.
- Investigation: DMS DAC ALC FKC TL TM.
- Methodology: FKC DMS DAC.
- Project administration: DMS.
- Resources: FKC JDR DAC.
- Software: DAC DMS.
- Supervision: FKC.
- Validation: DMS FKC DAC TL TM FKC ALC.
- Visualization: DMS ALC FKC.
- Writing – original draft: DMS DAC ALC TL.
- Writing – review & editing: DMS DAC ALC TL TM JDR FKC.
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