A Mini Review on Parallel Processing of Brain Magnetic Resonance Imaging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017073" target="_blank" >RIV/62690094:18450/20:50017073 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-45385-5_43" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-45385-5_43</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-45385-5_43" target="_blank" >10.1007/978-3-030-45385-5_43</a>
Alternative languages
Result language
angličtina
Original language name
A Mini Review on Parallel Processing of Brain Magnetic Resonance Imaging
Original language description
Parallel processing is an execution of processes that make computation and calculation on many things simultaneously. In addition, parallel processing methods are applied extensively to the examination of MR imaging in treatment. As parallel computer systems become larger and faster at the present time; scientists, researchers and engineers are eventually able to find solutions to the problems in medicine, which had been taken too long to run before. Therefore, various fields including medicine and bioinformatics have already taken the advantages of parallel processing. In this review study, we deal with analyzing key concepts and eminent parallel processing methods that have been used to analyze the brain MRI images. In addition to this, we indicate great number of examples from the current literature in a comprehensive literature matrix. Based on the literature matrix that is created according to the Web of Science analysis, information graphics are presented in a comprehensive manner. As a result, parallel processing methods in brain magnetic resonance imaging offer powerful replacements to computer clusters in order to run large, disseminated solicitations. © Springer Nature Switzerland AG 2020.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-45384-8
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
482-493
Publisher name
Springer
Place of publication
Cham
Event location
Granada, Spain
Event date
May 6, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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