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Objective Currently, most commercial optical coherence angiography (OCTA) systems lack a realtime display of en face OCTA images, which makes it difficult for operators to obtain intuitive feedback on data quality and adjust the system quickly and accurately in a single acquisition of OCTA volume data. In the process of dynamic acquisition of OCTA volume data, determining the state changes of the subjects is difficult, resulting in invalid data acquisition. In an experiment on flicker lightinduced functional retinal hyperemia, which provides a new perspective for the early screening of human diabetic retinopathy, the continuous collection of multiple groups of threedimensional data may be invalid because of the poor quality of one group, thereby wasting data processing time. Therefore, a realtime display of the experimental results is required. Although GPUbased OCTA data realtime processing methods have been proposed, the speed of the existing realtime processing methods still needs to be improved to adapt to highspeed 0907011 -11 封底文章•特邀论文 第 51 卷 第 9 期/2024 年 5 月/中国激光 scanning OCTA systems.Methods It is developed on a spectraldomain OCT (SD -OCT) system. Limited by the frame grabber, the maximum acquisition line speed of the system was 120 kHz in the highbitdepth mode and 250 kHz in the lowbitdepth mode. An optical coherence angiography algorithm based on the inverse signaltonoise ratio (SNR) and complexvalued decorrelation (ID -OCTA) was used to extract blood signals by adaptive SNR and achieve highquality angiography. The sum of absolute differences (SAD) algorithm was used to register OCT images, and the retinal OCT images were segmented by a vertical gradient distribution, which is convenient for fast parallel processing on a Graphics Processing Unit (GPU). This study proposes a realtime processing framework based on a GPU (Fig. 1), which uses texture memory to realize fast interpolation and filtering calculations and the CUDA stream to mask the time delay of data transmission between the host and GPU. We developed a realtime processing program using C++ and CUDA and a multithread system control program using the C++ and MFC libraries. To compare the guiding effect of the realtime data processing method in this study and the method using only a CPU, two realtime display modes were used for data acquisition: en face OCTA images and crosssectional OCT images. Moderately experienced operators collected multiple groups of data in these modes within 40 s. Three sets of data were collected continuously in 12 s to simulate the dynamic acquisition of OCTA volume data. The quality of the collected was evaluated using the en face OCTA image quality index. In the flicker lightinduced functional retinal hyperemia experiment in mice, the experimental success criteria and quantification parameters were set. Operators conducted multiple experiments to compare the experimental success rates of the two realtime display modes. Results and DiscussionsThe en face OCTA image realtime display was realized in the system with a 25...
Objective Currently, most commercial optical coherence angiography (OCTA) systems lack a realtime display of en face OCTA images, which makes it difficult for operators to obtain intuitive feedback on data quality and adjust the system quickly and accurately in a single acquisition of OCTA volume data. In the process of dynamic acquisition of OCTA volume data, determining the state changes of the subjects is difficult, resulting in invalid data acquisition. In an experiment on flicker lightinduced functional retinal hyperemia, which provides a new perspective for the early screening of human diabetic retinopathy, the continuous collection of multiple groups of threedimensional data may be invalid because of the poor quality of one group, thereby wasting data processing time. Therefore, a realtime display of the experimental results is required. Although GPUbased OCTA data realtime processing methods have been proposed, the speed of the existing realtime processing methods still needs to be improved to adapt to highspeed 0907011 -11 封底文章•特邀论文 第 51 卷 第 9 期/2024 年 5 月/中国激光 scanning OCTA systems.Methods It is developed on a spectraldomain OCT (SD -OCT) system. Limited by the frame grabber, the maximum acquisition line speed of the system was 120 kHz in the highbitdepth mode and 250 kHz in the lowbitdepth mode. An optical coherence angiography algorithm based on the inverse signaltonoise ratio (SNR) and complexvalued decorrelation (ID -OCTA) was used to extract blood signals by adaptive SNR and achieve highquality angiography. The sum of absolute differences (SAD) algorithm was used to register OCT images, and the retinal OCT images were segmented by a vertical gradient distribution, which is convenient for fast parallel processing on a Graphics Processing Unit (GPU). This study proposes a realtime processing framework based on a GPU (Fig. 1), which uses texture memory to realize fast interpolation and filtering calculations and the CUDA stream to mask the time delay of data transmission between the host and GPU. We developed a realtime processing program using C++ and CUDA and a multithread system control program using the C++ and MFC libraries. To compare the guiding effect of the realtime data processing method in this study and the method using only a CPU, two realtime display modes were used for data acquisition: en face OCTA images and crosssectional OCT images. Moderately experienced operators collected multiple groups of data in these modes within 40 s. Three sets of data were collected continuously in 12 s to simulate the dynamic acquisition of OCTA volume data. The quality of the collected was evaluated using the en face OCTA image quality index. In the flicker lightinduced functional retinal hyperemia experiment in mice, the experimental success criteria and quantification parameters were set. Operators conducted multiple experiments to compare the experimental success rates of the two realtime display modes. Results and DiscussionsThe en face OCTA image realtime display was realized in the system with a 25...
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In this paper, based on the principle of microhot pressing additive manufacturing technology, rapid preparation of graphite silicon carbide ceramic composites is achieved, using natural flake graphite powder as the raw material and thermosetting phenolic resin as the adhesive. Particular focus is placed on the composition of mixed powder, and how this affects its compressive strength and thermal conductivity. The results show that when the natural flake graphite powder and the thermosetting phenolic resin is fixed at 85% and 15%, respectively, the mass fractions of high purity silica powder, short carbon fiber, and intermediate carbon microspheres is 25%, 4% and 21%, respectively. The compressive strength and thermal conductivity of the graphite silicon carbide ceramic composite is 30. 82 MPa and 21. 65 W/m•K, respectively. By testing the thermal expansion coefficient and oxidation resistance of the composite at 1200 ℃ , the oxidation weight loss and the thermal expansion coefficient is determined to be 23. 679% and 3. 14×10 − 6 /K, respectively. This composite material is expected to replace graphite casting and be applied in the casting industry.
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