Title :
A Novel Scheme for joint Multi-channel ECG-ultrasound image compression
Author :
Zeybek, E.H. ; Nait-Ali, A. ; Olivier, C. ; Ouled-Zaid, A.
Author_Institution :
Univ. Paris-XII, Creteil
Abstract :
In this paper, we introduce a novel approach to compress jointly a Multi-Channel Electrocardiogram (MCE) and an ultrasound image. We will show that this technique allows better performances, in terms of compression ratio (CR) compared to coding separately both modalities. In this approach, scaled ECG samples are inserted within the high frequencies of the ultrasound image after its decomposition on wavelet basis. The new standard JPEG2000 is then applied on the packed data for both coding and decoding purpose. Finally, the reconstruction quality is evaluated using the PSNR (peak signal noise ratio) and the PRD (percent root mean square difference), respectively for both the ultrasound image and the ECG signals.
Keywords :
biomedical ultrasonics; data compression; electrocardiography; image coding; image reconstruction; medical image processing; wavelet transforms; coding purpose; combined multichannel ECG-ultrasound image compression; compression ratio terms; decoding purpose; electrocardiogram; image decomposition; peak signal noise ratio; percent root mean square difference; reconstruction quality; standard JPEG2000; wavelet method; Chromium; Decoding; Electrocardiography; Frequency; Image coding; Image reconstruction; PSNR; Root mean square; Transform coding; Ultrasonic imaging; Algorithms; Automatic Data Processing; Data Compression; Electrocardiography; Humans; Software; Ultrasonography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352390