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[Preliminary Comparison of Two Compression Methods for Ultrasonic Plane Wave Data]
Summary
Ultrasonic plane wave imaging generates large data volumes. This study explores LZW lossless and frequency domain cutting lossy compression, finding frequency domain cutting superior for ultrasonic data compression due to its high ratio and minimal image distortion.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Data Compression
Background:
- Plane wave ultrasound imaging generates substantial data, burdening hardware.
- High data volumes challenge real-time processing and transmission in ultrasound systems.
Purpose of the Study:
- To investigate data compression methods for high-volume ultrasonic plane wave imaging data.
- To compare the effectiveness of lossless (LZW) and lossy (frequency domain cutting) compression algorithms.
Main Methods:
- Implemented the Lempel-Ziv-Welch (LZW) algorithm for lossless compression on FPGA.
- Developed a frequency domain cutting algorithm for lossy compression, leveraging plane wave characteristics.
- Tested both algorithms using ultrasonic simulation data.
Main Results:
- LZW algorithm achieved a notable compression ratio on FPGA.
- Frequency domain cutting preserved essential spectral bandwidth, with minimal impact from removed frequencies.
- Frequency domain cutting demonstrated a high compression ratio with small differences between original and reconstructed images.
Conclusions:
- Frequency domain cutting is a primary choice for ultrasonic data compression due to its high compression ratio and image fidelity.
- Lossy compression, specifically frequency domain cutting, offers significant advantages over lossless methods for this application.
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