[Research and realization of signal processing algorithms based on FPGA in digital ophthalmic ultrasonography imaging].

Objective: To design and improve signal processing algorithms of ophthalmic ultrasonography based on FPGA.

Methods: Achieved three signal processing modules: full parallel distributed dynamic filter, digital quadrature demodulation, logarithmic compression, using Verilog HDL hardware language in Quartus II.

Results: Compared to the original system, the hardware cost is reduced, the whole image shows clearer and more information of the deep eyeball contained in the image, the depth of detection increases from 5 cm to 6 cm.

Conclusion: The new algorithms meet the design requirements and achieve the system's optimization that they can effectively improve the image quality of existing equipment.