Compression of real time volumetric echocardiographic data using modified SPIHT based on the three-dimensional
X Hang1, N L Greenberg, T Shiota
1Ohio State University, USA. hangx@ccf.org
Computers in Cardiology
|November 25, 2003
Summary
Wavelet transforms effectively compress real-time 3D echocardiogram (3DE) data. Modified Set Partitioning in Hierarchical Trees (SPIHT) achieved over 40:1 compression while preserving cardiac image quality for storage and transmission.
Area of Science:
- Medical imaging
- Signal processing
- Cardiology
Background:
- Real-time three-dimensional echocardiography (3DE) offers enhanced cardiac function analysis.
- Efficient data compression is crucial for 3DE storage and transmission.
- Wavelet transforms have shown promise in compressing 2D echocardiogram data.
Purpose of the Study:
- To extend the Set Partitioning in Hierarchical Trees (SPIHT) algorithm for volumetric echocardiographic data compression.
- To evaluate the effectiveness of a modified SPIHT algorithm based on the 3D wavelet packet transform for 3DE data.
Main Methods:
- Modification of the SPIHT algorithm utilizing the three-dimensional wavelet packet transform.
- Application of the modified SPIHT algorithm to compress real-time volumetric echocardiographic datasets.
Main Results:
- The modified SPIHT algorithm successfully compressed 3DE data.
- A compression ratio of at least 40:1 was achieved.
- Image quality was preserved at the achieved compression ratios.
Conclusions:
- The modified SPIHT algorithm is effective for compressing 3DE data.
- High compression ratios are attainable without compromising essential image quality.
- This method facilitates efficient storage and transmission of volumetric echocardiographic data.
