Doc. Ing. Jiří Jaroš, Ph.D.

KLEPÁRNÍK Petr, BAŘINA David, ZEMČÍK Pavel and JAROŠ Jiří. Efficient Low-Resource Compression of HIFU Data. Information. Basel: MDPI, 2018, vol. 9, no. 7, pp. 1-14. ISSN 2078-2489. Available from: http://www.mdpi.com/2078-2489/9/7/155
Publication language:english
Original title:Efficient Low-Resource Compression of HIFU Data
Title (cs):Účinná komprese dat HIFU s nízkou spotřebou zdrojů
Pages:1-14
Place:CH
Year:2018
URL:http://www.mdpi.com/2078-2489/9/7/155
Journal:Information, Vol. 9, No. 7, Basel, CH
ISSN:2078-2489
DOI:10.3390/info9070155
Keywords
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 propose a novel algorithm for time-varying simulation data compression specialised for HIFU. Our approach is particularly focused on on-the-fly parallel data compression during simulations. The algorithm is able to compress 3D pressure time series of linear and non-linear simulations with very acceptable compression ratios and errors (over 80% of the space can be saved with an acceptable error). The proposed compression enables significant reduction of resources, such as storage space, network bandwidth, CPU time, and so forth, enabling better treatment planning using fast volume data visualisations. The paper describes the proposed method, its experimental evaluation, and comparisons to the state of the arts.
BibTeX:
@ARTICLE{
   author = {Petr Klep{\'{a}}rn{\'{i}}k and David Ba{\v{r}}ina
	and Pavel Zem{\v{c}}{\'{i}}k and Ji{\v{r}}{\'{i}}
	Jaro{\v{s}}},
   title = {Efficient Low-Resource Compression of HIFU Data},
   pages = {1--14},
   journal = {Information},
   volume = {9},
   number = {7},
   year = {2018},
   ISSN = {2078-2489},
   doi = {10.3390/info9070155},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11764}
}

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