Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
KLEPÁRNÍK, P. ZEMČÍK, P. JAROŠ, J.
Originální název
Efficient Lossy Compression of Ultrasound Data
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
signal compression, ultrasound simulation, high intensity focused ultrasound, k-Wave toolbox
Autoři
KLEPÁRNÍK, P.; ZEMČÍK, P.; JAROŠ, J.
Vydáno
18. 6. 2018
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Bilbao
ISBN
978-1-5386-4662-5
Kniha
2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
Strany od
232
Strany do
237
Strany počet
6
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388647&isnumber=8388305
BibTex
@inproceedings{BUT154994, author="Petr {Klepárník} and Pavel {Zemčík} and Jiří {Jaroš}", title="Efficient Lossy Compression of Ultrasound Data", booktitle="2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017", year="2018", pages="232--237", publisher="Institute of Electrical and Electronics Engineers", address="Bilbao", doi="10.1109/ISSPIT.2017.8388647", isbn="978-1-5386-4662-5", url="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388647&isnumber=8388305" }