Conference paper

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
Publication language:english
Original title:Efficient Lossy Compression of Ultrasound Data
Title (cs):Efektivní ztrátová komprese ultrazvukových dat
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)
Place:Bilbao, ES
Year:2017
URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388647&isnumber=8388305
ISBN:978-1-5386-4662-5
DOI:10.1109/ISSPIT.2017.8388647
Publisher:Institute of Electrical and Electronics Engineers
Keywords
signal compression, ultrasound simulation, high intensity focused ultrasound, k-Wave toolbox
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=11543}
}

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