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- W2294513301 abstract "This paper presents parallel optimizations in the en-face (C-scan) optical coherence tomography (OCT) display.Compared with the cross-sectional (B-scan) imagery, the production of en-face images is more computationallydemanding, due to the increased size of the data handled by the digital signal processing (DSP) algorithms. Asequential implementation of the DSP leads to a limited number of real-time generated en-face images. Thereare OCT applications, where simultaneous production of large number of en-face images from multiple depthsis required, such as real-time diagnostics and monitoring of surgery and ablation. In sequential computing, thisrequirement leads to a significant increase of the time to process the data and to generate the images. As a result,the processing time exceeds the acquisition time and the image generation is not in real-time. In these cases, notproducing en-face images in real-time makes the OCT system ineffective. Parallel optimization of the DSPalgorithms provides a solution to this problem. Coarse-grained central processing unit (CPU) based and fine-grainedgraphics processing unit (GPU) based parallel implementations of the conventional Fourier domain(CFD) OCT method and the Master-Slave Interferometry (MSI) OCT method are studied. In the coarse-grainedCPU implementation, each parallel thread processes the whole OCT frame and generates a single en-face image.The corresponding fine-grained GPU implementation launches one parallel thread for every data point from theOCT frame and thus achieves maximum parallelism. The performance and scalability of the CPU-based andGPU-based parallel approaches are analyzed and compared. The quality and the resolution of the imagesgenerated by the CFD method and the MSI method are also discussed and compared." @default.
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- W2294513301 date "2016-03-08" @default.
- W2294513301 modified "2023-09-23" @default.
- W2294513301 title "Coarse-grained and fine-grained parallel optimization for real-time en-face OCT imaging" @default.
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- W2294513301 doi "https://doi.org/10.1117/12.2209560" @default.
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