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 |
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| Original title: | Efficient Low-Resource Compression of HIFU Data |
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| Title (cs): | Účinná komprese dat HIFU s nízkou spotřebou zdrojů |
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| Pages: | 1-14 |
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| Place: | CH |
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| Year: | 2018 |
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| URL: | http://www.mdpi.com/2078-2489/9/7/155 |
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| Journal: | Information, Vol. 9, No. 7, Basel, CH |
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| ISSN: | 2078-2489 |
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| DOI: | 10.3390/info9070155 |
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| Keywords |
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| compression, ultrasound simulation, high-intensity focused ultrasound, k-Wave toolbox |
| Annotation |
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| 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: |
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@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}
} |
|
Faculty of Information Technology