Efficient Low-Resource Compression of HIFU Data

Simple item page
dc.contributor.authorKlepárník, Petrcs
dc.contributor.authorBařina, Davidcs
dc.contributor.authorZemčík, Pavelcs
dc.contributor.authorJaroš, Jiřícs
dc.coverage.issue7cs
dc.coverage.volume9cs
dc.date.issued2018-06-26cs
dc.description.abstractLarge-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.en
dc.description.abstractVe článku je popsána nová metoda komprese ultrazvukových dat s nízkou spotřebou zdrojů navržená pro simulace HIFU (cílený ultrazvuk o vysoké intenzitě).cs
dc.formattextcs
dc.format.extent1-14cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationInformation (Switzerland). 2018, vol. 9, issue 7, p. 1-14.en
dc.identifier.doi10.3390/info9070155cs
dc.identifier.issn2078-2489cs
dc.identifier.orcid0000-0003-0311-3759cs
dc.identifier.orcid0000-0003-0917-5512cs
dc.identifier.orcid0000-0001-7969-5877cs
dc.identifier.orcid0000-0002-0087-8804cs
dc.identifier.other155024cs
dc.identifier.researcheridR-9837-2018cs
dc.identifier.researcheridA-9035-2015cs
dc.identifier.researcheridG-6439-2010cs
dc.identifier.researcheridH-2445-2016cs
dc.identifier.scopus57190272034cs
dc.identifier.scopus55973177900cs
dc.identifier.scopus6507084407cs
dc.identifier.scopus13408713400cs
dc.identifier.urihttp://hdl.handle.net/11012/189005
dc.language.isoencs
dc.relation.ispartofInformation (Switzerland)cs
dc.relation.urihttp://www.mdpi.com/2078-2489/9/7/155cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2078-2489/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcompressionen
dc.subjectultrasound simulationen
dc.subjecthigh-intensity focused ultrasounden
dc.subjectk-Wave toolboxen
dc.subjectkomprese
dc.subjectsimulace ultrazvuku
dc.subjectcílený ultrazvuk o vysoké intenzitě
dc.subjectk-Wave toolbox
dc.titleEfficient Low-Resource Compression of HIFU Dataen
dc.title.alternativeÚčinná komprese dat HIFU s nízkou spotřebou zdrojůcs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-155024en
sync.item.dbtypeVAVen
sync.item.insts2024.03.25 03:46:05en
sync.item.modts2024.03.25 03:14:23en
thesis.grantorVysoké učení technické v Brně. Fakulta informačních technologií. Ústav počítačové grafiky a multimédiícs
thesis.grantorVysoké učení technické v Brně. Fakulta informačních technologií. Ústav počítačových systémůcs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
information0900155.pdf
Size:
456.1 KB
Format:
Adobe Portable Document Format
Description:
information0900155.pdf
Download
Collections
Ústav počítačové grafiky a multimédií
Ústav počítačových systémů