A Novel Scheme for joint Multi-channel ECG-ultrasound image compression

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.

An efficient JPEG-2000 based multimodal compression scheme

“…Therefore, the perfect reconstruction of the input signal can be performed. In transform was successfully applied to conduct the insertion process [17][4] [6].The first multimodal compression using the wavelet transform was proposed in [17], and has been considered in a specific medical application. The signal is firstly modified by a scaling factor and inserted in the detail sub-band (HH) after achieving the DWT on the input image.…”

“…The insertion area is decimated to comprise the signal samples to be inserted, similar in construction to [17] with the difference of quantization process of signal samples. Note that the signal quantization process necessarily leads to provide a dynamic range similar to that of the input image.…”

“…This would make a powerful and attractive tool in telemedicine applications in which multiple data types are normally acquired. The work proposed by Zeybek et al [17] can be considered the first and pioneering attempt to jointly compress an image with a biosignal with one codec. This was also reported in [4] by the same authors.…”

“…The spatial mixing function that inserts samples in low-frequency regions, is defined using a set of operations, including down-sampling, interpolation, and quad-tree decomposition. In [5], an improved multimodal compression scheme that builds upon [17] was developed [5][6]. This scheme, which uses a spiral insertion function in the wavelet domain to enhance the combination of the signal and image prior to compression, develops a more powerful multimodal compression technique that outperforms previous works while maintaining a reduced amount of computational complexity by using the SPIHT codec.…”

A new scheme for joint ultrasound image-ECG signal compression

“…This idea was the object of [7], in which scaled ECG samples are inserted within the high frequencies of the ultrasound image after its decomposition on wavelet basis, which means that one sacrifices the details carried by the coefficients replaced by the signal samples. This loss is accentuated as much as the compression ratio (CR) is low, which present a great limitation for this kind of applications where one has tendency to lossless compression.…”