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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Bibliographic Details
Published in:Information (Basel) Vol. 9; no. 7; p. 155
Main Authors: Kleparnik, Petr, Barina, David, Zemcik, Pavel, Jaros, Jiri
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.07.2018
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:2078-2489
2078-2489
DOI:10.3390/info9070155