Title :
A New Approach to Compression of Medical Ultrasound Images Using Wavelet Transform
Author :
Shahhoseini, Elham ; Nejad, Nasrin Ahmadi ; Behnam, Hamid ; Shahhoseini, Amir
Author_Institution :
Sci. & Res. Branch, Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
In this paper, a new lossy technique based on wavelet transform for compression of breast ultrasound images is presented. The experiments are performed on 16 different wavelet functions and the quality of reconstructed images is evaluated by using Compression Ratio (CR), Normalized Mean Square Error (NMSE), Normalized Absolute Error (NAE), and Peak Signal to Noise Ratio (PSNR) criterion. An ultrasonographer performed the subjective assessment. This study shows that among the utilized wavelets, db1 has a qualitative and quantitative potential to compress the breast ultrasound images. The results show that the proposed algorithm can increase the compression ratio while the clinical information of the image is preserved.
Keywords :
biological organs; biomedical ultrasonics; data compression; gynaecology; image reconstruction; medical image processing; ultrasonic imaging; wavelet transforms; breast; compression ratio; image compression; image reconstruction; medical ultrasound images; normalized absolute error; normalized mean square error; peak signal-to-noise ratio; wavelet transform; Image coding; Image reconstruction; Medical diagnostic imaging; Ultrasonic imaging; Wavelet transforms; CR; breast ultrasound images; lossy compression; wavelet transform;
Conference_Titel :
Advances in Circuits, Electronics and Micro-Electronics (CENICS), 2010 Third International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7535-3
DOI :
10.1109/CENICS.2010.14
