Diagnostically lossless video compression for angiogram data using a wavelet-based texture modeling approach

David Gibson; George Tsibidis; Michael Spann; Sandra Isobel Woolley

doi:10.1117/12.429482

8 June 2001 Diagnostically lossless video compression for angiogram data using a wavelet-based texture modeling approach

David Gibson, George Tsibidis, Michael Spann, Sandra Isobel Woolley

Author Affiliations +

Proceedings Volume 4299, Human Vision and Electronic Imaging VI; (2001) https://doi.org/10.1117/12.429482
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper presents a lossy, wavelet-based approach for the compression of digital angiogram video. An analysis of the high-frequency sub-bands of a wavelet decomposition of an angiogram image reveals significantly sized regions containing no diagnostically important information. The encoding of the high-frequency sub-band wavelet coefficients in such regions proves to be burdensome, although if removed, the coefficients are notable by their absence. This paper aims to model these wavelet coefficients using a texture modeling approach. This is only performed in regions which are considered diagnostically unimportant, with diagnostically important regions encoded as normal. The effect of this procedure significantly reduces the bit-rate of diagnostically unimportant areas of the image without a perceptible loss of image quality. The effectiveness of the algorithm at different bit-rates is assessed by a consultant cardiologist with the key aim of identifying any degradation in the diagnostic content of the images.

Citation Download Citation

David Gibson, George Tsibidis, Michael Spann, and Sandra Isobel Woolley "Diagnostically lossless video compression for angiogram data using a wavelet-based texture modeling approach", Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); https://doi.org/10.1117/12.429482

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