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Role of Parallel Processing in 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%2F23%3A50020538" target="_blank" >RIV/62690094:18450/23:50020538 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-34960-7_27" target="_blank" >http://dx.doi.org/10.1007/978-3-031-34960-7_27</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-34960-7_27" target="_blank" >10.1007/978-3-031-34960-7_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Role of Parallel Processing in Brain Magnetic Resonance Imaging

  • Original language description

    Parallel processing is a procedure for making computation of more than a processor to overcome the difficulty of separate parts of an overall task. It is really crucial for some medicine-related tasks since the method provide time-efficient computation by a program, thus several calculations could be made simultaneously. Whereas, magnetic resonance imaging (MRI) is one of the medical imaging methods to show form of an anatomy and biological progressions of a human body. Parallel processing methods could be useful for being implemented in MRI with the aim of getting real-time, interventional and time-efficient acquisition of images. Given the need of faster computation on brain MRI to get early and real-time feedbacks in medicine, this paper presents a systematic review of the literature related to brain MRIs focusing on the emerging applications of parallel processing methods for the analysis of brain MRIs. We investigate the articles consisting of these kernels with literature matrices including their, materials, methods, journal types between 2013 and 2023. We distill the most prominent key concepts of parallel processing methods. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • 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

    978-3-031-34959-1

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    11

  • Pages from-to

    387-397

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    Meloneras

  • Event date

    Jul 12, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article