Publication result detail

Efficient Low-Resource Compression of HIFU Data

KLEPÁRNÍK, P.; BAŘINA, D.; ZEMČÍK, P.; JAROŠ, J.

Original Title

Efficient Low-Resource Compression of HIFU Data

English Title

Efficient Low-Resource Compression of HIFU Data

Type

WoS Article

Original Abstract

Large-scale numerical simulations of high-intensity focused ultrasound (HIFU), importantfor model-based treatment planning, generate large amounts of data. Typically, it is necessary to savehundreds of gigabytes during simulation. We propose a novel algorithm for time-varying simulationdata compression specialised for HIFU. Our approach is particularly focused on on-the-fly paralleldata compression during simulations. The algorithm is able to compress 3D pressure time seriesof 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 significantreduction of resources, such as storage space, network bandwidth, CPU time, and so forth, enablingbetter treatment planning using fast volume data visualisations. The paper describes the proposedmethod, its experimental evaluation, and comparisons to the state of the arts.

English abstract

Large-scale numerical simulations of high-intensity focused ultrasound (HIFU), importantfor model-based treatment planning, generate large amounts of data. Typically, it is necessary to savehundreds of gigabytes during simulation. We propose a novel algorithm for time-varying simulationdata compression specialised for HIFU. Our approach is particularly focused on on-the-fly paralleldata compression during simulations. The algorithm is able to compress 3D pressure time seriesof 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 significantreduction of resources, such as storage space, network bandwidth, CPU time, and so forth, enablingbetter treatment planning using fast volume data visualisations. The paper describes the proposedmethod, its experimental evaluation, and comparisons to the state of the arts.

Keywords

compression, ultrasound simulation, high-intensity focused ultrasound, k-Wave toolbox

Key words in English

compression, ultrasound simulation, high-intensity focused ultrasound, k-Wave toolbox

Authors

KLEPÁRNÍK, P.; BAŘINA, D.; ZEMČÍK, P.; JAROŠ, J.

RIV year

2019

Released

26.06.2018

ISBN

2078-2489

Periodical

Information

Volume

9

Number

7

State

Swiss Confederation

Pages from

1

Pages to

14

Pages count

14

URL

http://www.mdpi.com/2078-2489/9/7/155

Full text in the Digital Library

http://hdl.handle.net/11012/189005

BibTex

@article{BUT155024,
  author="Petr {Klepárník} and David {Bařina} and Pavel {Zemčík} and Jiří {Jaroš}",
  title="Efficient Low-Resource Compression of HIFU Data",
  journal="Information",
  year="2018",
  volume="9",
  number="7",
  pages="1--14",
  doi="10.3390/info9070155",
  url="http://www.mdpi.com/2078-2489/9/7/155"
}

Documents

information-09-00155
publisher's version