Efficient Lossy Compression of Ultrasound Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU130686" target="_blank" >RIV/00216305:26230/17:PU130686 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388647&isnumber=8388305" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8388647&isnumber=8388305</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISSPIT.2017.8388647" target="_blank" >10.1109/ISSPIT.2017.8388647</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Lossy Compression of Ultrasound Data
Original language description
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 proposed a novel algorithm for time varying simulation data compression specialized for HIFU. Our approach is especially focused on the on-the-fly parallel data compression during simulations. Now, we are able to compress 3D pressure time series of linear and nonlinear simulations with very promising compression ratios and errors (over 80 % of the space can be saved with an acceptable error). The proposed compression will be helpful for significant reduction of resources, such as CPU time, storage space, network bandwidth, etc., enabling better treatment planning using fast volume data visualizations. The paper describes the proposed method, its experimental evaluation, and comparison to the state of the art.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
ISBN
978-1-5386-4662-5
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
232-237
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Bilbao
Event location
Bilbao
Event date
Dec 18, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000437165400042