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Reducing the bit-depth is an effective approach to lower the cost of optical coherence tomography (OCT) systems and increase the transmission efficiency in data acquisition and telemedicine. However, a low bit-depth will lead to the degeneration of the detection sensitivity thus reduce the signal-to-noise ratio (SNR) of OCT images. In this paper, w...
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... the converted signal was processed using the OCT post-processing pipeline including background subtraction, k-linearization, dispersion compensation, Fourier transformation, and image logarithm. Figure 3 demonstrates different bit-depth digital signals correspond to different quality OCT B-scan images. ...
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... because the CSI can be clearly visualized in each image. As the bit-depth increases, the segmentation is closer to that of the 12-bit image. We set the automatically-segmented and manually-checked CSI of 12-bit B-scan as the ground truth. Using it as the reference, the segmentation errors of the original and reconstructed images were plotted in Fig. 13. For each bit depth, the errors are significantly decreased using the reconstructed image compared with the errors of the original image. For the reconstructed images, the average segmentation error decreases as the bit depth increases from 39.86 µm at 3 bit to 18.13 µm at 6 ...
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... the signal goes through the entire OCT post-processing including background subtraction, k-linearization, dispersion compensation, Fourier transformation, and image logarithm. Figure 3 demonstrates different bit-depth digital signals correspond to different quality OCT B-scan images. ...
