Brightness Mode Echocardiogram Image Compression using 3D LEBP and 3D SPIHT

In this paper a new approach for compression of Brightness mode (B-Mode) echocardiogram image is proposed. Echocardiogram images raw format requires more storage, which is really a big issue as the quality of the image data cannot be hindered. It becomes necessary to compress these data in order to avoid issues related with storage. The implemented method compresses B-Mode efficiently, a two-dimensional ultrasound image that represents ultrasound echoes composed of bright dots. To achieve a high rate of image compression and to preserve the image information, three-dimensional listless embedded block partitioning (3D-LEBP) along with 3D set partitioning in hierarchical trees (3D-SPIHT) algorithms are used. A video is used as an input which is converted into frames and subsequently 3D-LEBP is applied on these frames for compression. The result shows that the size of the data is significantly reduced by employing this method. The performance of this method has been evaluated using Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM) and Edge Preservation Index (EPI). The results obtained outperform the method used in previous research work.