Efficient Low-Resource Compression of HIFU Data

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 compr...

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Vydáno v:	Information (Basel) Ročník 9; číslo 7; s. 155
Hlavní autoři:	Kleparnik, Petr, Barina, David, Zemcik, Pavel, Jaros, Jiri
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.07.2018
Témata:	Algorithms compression Compression ratio Computer simulation Data compression high-intensity focused ultrasound k-Wave toolbox Mathematical models Medical imaging Methods Prostate Ratios Time compression Tomography Ultrasonic imaging ultrasound simulation Wavelet transforms Cleveland Ohio United States > US
ISSN:	2078-2489, 2078-2489
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Abstract	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.
AbstractList	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.
Author	Kleparnik, Petr Zemcik, Pavel Jaros, Jiri Barina, David
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SubjectTerms	Algorithms compression Compression ratio Computer simulation Data compression high-intensity focused ultrasound k-Wave toolbox Mathematical models Medical imaging Methods Prostate Ratios Time compression Tomography Ultrasonic imaging ultrasound simulation Wavelet transforms
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