Faculty of Information Technology, BUT

Publication Details

Efficient Lossy Compression of Ultrasound Data

KLEPÁRNÍK Petr, ZEMČÍK Pavel and JAROŠ Jiří. Efficient Lossy Compression of Ultrasound Data. In: 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). Bilbao: Institute of Electrical and Electronics Engineers, 2017, pp. 232-237. ISBN 978-1-5386-4662-5. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388647&isnumber=8388305
Czech title
Efektivní ztrátová komprese ultrazvukových dat
Type
conference paper
Language
english
Authors
URL
Keywords
signal compression, ultrasound simulation, high intensity focused ultrasound, k-Wave toolbox
Abstract
Large-scale numerical simulations of high-intensity focused ultrasound (HIFU), important for model-based treatment planning, generate large amounts of data. Typically, it is necessary to save hundreds of gigabytes during simulation. We proposed a novel algorithm for time varying simulation data compression specialized for HIFU. Our approach is especially focused on the on-the-fly parallel data compression during simulations. Now, we are able to compress 3D pressure time series of linear and nonlinear simulations with very promising compression ratios and errors (over 80 % of the space can be saved with an acceptable error). The proposed compression will be helpful for significant reduction of resources, such as CPU time, storage space, network bandwidth, etc., enabling better treatment planning using fast volume data visualizations. The paper describes the proposed method, its experimental evaluation, and comparison to the state of the art.
Published
2017
Pages
232-237
Proceedings
2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Conference
17th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Bilbao, ES
ISBN
978-1-5386-4662-5
Publisher
Institute of Electrical and Electronics Engineers
Place
Bilbao, ES
DOI
BibTeX
@INPROCEEDINGS{FITPUB11543,
   author = "Petr Klep\'{a}rn\'{i}k and Pavel Zem\v{c}\'{i}k and Ji\v{r}\'{i} Jaro\v{s}",
   title = "Efficient Lossy Compression of Ultrasound Data",
   pages = "232--237",
   booktitle = "2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)",
   year = 2017,
   location = "Bilbao, ES",
   publisher = "Institute of Electrical and Electronics Engineers",
   ISBN = "978-1-5386-4662-5",
   doi = "10.1109/ISSPIT.2017.8388647",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11543"
}
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