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S. Sharma, K. Sayanagi, P. K. Kaiser; Comparison of Four Different Fourier Domain Optical Coherence Tomography (OCT) Devices With the Stratus Time Domain OCT Device. Invest. Ophthalmol. Vis. Sci. 2008;49(13):4262.
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© ARVO (1962-2015); The Authors (2016-present)
To compare four different Fourier Domain Optical Coherence Tomography (FDOCT) devices with conventional time domain Stratus OCT imaging
38 eyes were prospectively imaged using the Fast Macular Thickness Map analysis algorithm taken from six 6 mm radial scans and 6 mm Linear Cross Hair Scans on the Stratus OCT III (Carl Zeiss Meditec) and then immediately imaged using 3D cube scans and high-resolution line scans on four commercially available FDOCT devices: Spectralis HRA+OCT (Heidelberg Engineering), SOCT Copernicus (Reichert/Optopol), 3D-OCT 1000 (Topcon), and Cirrus HD-OCT (Carl Zeiss Meditec). Automated measurements as well as manual central retinal thickness measurements were obtained with the built in measurement tools on each device and compared.
The Spectralis HRA+OCT provided the best image quality of the four FDOCT devices followed by SOCT Copernicus, Cirrus HD-OCT, and 3D-OCT 1000. This was especially true for epiretinal phenomenon. The 3D scanning capability of the FDOCT devices allowed for full coverage of the posterior pole and often identified pathology that was missed by the six radial scans taken with Stratus. Central retinal thickness measurements were comparable between Stratus and the FDOCT machines; however, the retinal thickness maps differed significantly between all of the devices. All of the FDOCT machines were found to be comparable with regards to ease of use, testing time, and patient comfort; testing time was found to be longer on the FDOCT machines compared to Stratus.
The improved image quality offered by the FDOCT devices allows for better identification of disease processes compared to Stratus. Retinal thickness maps obtained with the FDOCT machines were found to more accurate than the maps obtained with Stratus; however, this was dependant on accurate segmentation of retinal layers by each machine and as software algorithms become more mature the accuracy of the thickness maps should improve.
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