1 Ocak 2017 Dergi makalesi Açık Erişim

Ozturk-Isik, Esin; Marshall, Ian; Filipiak, Patryk; Benjamin, Arnold J. V.; Ones, Valia Guerra; Ortiz Ramon, Rafael; Hernandez, Maria del C. Valdes

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/46757</identifier>
  <creators>
    <creator>
      <creatorName>Ozturk-Isik, Esin</creatorName>
      <givenName>Esin</givenName>
      <familyName>Ozturk-Isik</familyName>
      <affiliation>Bogazici Univ, Inst Biomed Engn, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Marshall, Ian</creatorName>
      <givenName>Ian</givenName>
      <familyName>Marshall</familyName>
      <affiliation>Univ Edinburgh, Dept Neuroimaging Sci, Ctr Clin Brain Sci, Chancellors Bldg,49 Little France Crescent, Edinburgh EH16 4SB, Midlothian, Scotland</affiliation>
    </creator>
    <creator>
      <creatorName>Filipiak, Patryk</creatorName>
      <givenName>Patryk</givenName>
      <familyName>Filipiak</familyName>
      <affiliation>Univ Wroclaw, Inst Comp Sci, Wroclaw, Poland</affiliation>
    </creator>
    <creator>
      <creatorName>Benjamin, Arnold J. V.</creatorName>
      <givenName>Arnold J. V.</givenName>
      <familyName>Benjamin</familyName>
      <affiliation>Univ Edinburgh, Dept Neuroimaging Sci, Ctr Clin Brain Sci, Chancellors Bldg,49 Little France Crescent, Edinburgh EH16 4SB, Midlothian, Scotland</affiliation>
    </creator>
    <creator>
      <creatorName>Ones, Valia Guerra</creatorName>
      <givenName>Valia Guerra</givenName>
      <familyName>Ones</familyName>
      <affiliation>Delft Univ Technol, Inst Appl Math, The Hague, Netherlands</affiliation>
    </creator>
    <creator>
      <creatorName>Ortiz Ramon, Rafael</creatorName>
      <givenName>Rafael</givenName>
      <familyName>Ortiz Ramon</familyName>
      <affiliation>Univ Politecn Valencia, Ctr Biomat &amp; Tissue Engn, Valencia, Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Hernandez, Maria del C. Valdes</creatorName>
      <givenName>Maria del C. Valdes</givenName>
      <familyName>Hernandez</familyName>
      <affiliation>Univ Edinburgh, Dept Neuroimaging Sci, Ctr Clin Brain Sci, Chancellors Bldg,49 Little France Crescent, Edinburgh EH16 4SB, Midlothian, Scotland</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Workshop On Reconstruction Schemes For Magnetic Resonance Data: Summary Of Findings And Recommendations</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/46757</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1098/rsos.160731</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">The high-fidelity reconstruction of compressed and low-resolution magnetic resonance (MR)data is essential for simultaneously improving patient care, accuracy in diagnosis and quality in clinical research. Sponsored by the Royal Society through the Newton Mobility Grant Scheme, we held a half-day workshop on reconstruction schemes for MR data on 17 August 2016 to discuss new ideas from related research fields that could be useful to overcome the shortcomings of the conventional reconstruction methods that have been evaluated to date. Participants were 21 university students, computer scientists, image analysts, engineers and physicists from institutions from six different countries. The discussion evolved around exploring new avenues to achieve high resolution, high quality and fast acquisition of MR imaging. In this article, we summarize the topics covered throughout the workshop and make recommendations for ongoing and future works.</description>
  </descriptions>
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