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Constructing a Human Atrial Fibre Atlas, Roney et al.

Roney, Caroline


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  <identifier identifierType="DOI">10.5281/zenodo.3764917</identifier>
  <creators>
    <creator>
      <creatorName>Roney, Caroline</creatorName>
      <givenName>Caroline</givenName>
      <familyName>Roney</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6809-0928</nameIdentifier>
      <affiliation>King's College London</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Constructing a Human Atrial Fibre Atlas, Roney et al.</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Atrial Fibrillation, Atrial Fibres, Mesh, Finite Elements, Electrophysiology, Computational Models</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-04-24</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3764917</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3764916</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt;&amp;nbsp;Atrial anisotropy affects electrical propagation patterns, anchor locations of atrial reentrant drivers, and atrial mechanics. However, patient-specific atrial fibre fields and anisotropy measurements are not currently available, and consequently assigning fibre fields to atrial models is challenging. We aimed to construct an atrial fibre atlas from a high-resolution DTMRI dataset that optimally reproduces electrophysiology simulation predictions corresponding to patient-specific fibre fields, and to develop a methodology for automatically assigning fibres to patient-specific anatomies.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Dataset Description:&lt;/strong&gt;&amp;nbsp;We include&amp;nbsp;endocardial and epicardial left and right atrial surfaces for each of the 7 anatomies included in our study (Constructing a Human Atrial Fibre Atlas, ABME, 2020),&amp;nbsp;together with their fibre fields. We also include&amp;nbsp;the average fibre field for each of the atrial surfaces displayed on anatomy number 6 (named *_A).&amp;nbsp;&lt;/p&gt;

&lt;p&gt;For each of the surfaces, we also include universal atrial coordinate fields alpha and beta, which are a lateral-septal coordinate and posterior-anterior coordinate for the LA (IVC-SVC coordinate for the RA). More details on the coordinate construction are given in our manuscript and&amp;nbsp;&lt;a href="https://www.ncbi.nlm.nih.gov/pubmed/31026761"&gt;https://www.ncbi.nlm.nih.gov/pubmed/31026761&lt;/a&gt;. These coordinates can be used for registering datasets.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;These meshes are in vtk format, consisting of the nodes, triangular elements, the atrial coordinate fields defined on the nodes, and the fibre field defined on the elements.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;We have also included mesh files for the Cardiac Arrhythmia Research Package simulator. These are a list of nodal coordinates (.pts file), a list of triangular elements (.elem file), and a fibre file (.lon). More details on this file format and the carpentry simulator are available at:&amp;nbsp;&lt;a href="https://carpentry.medunigraz.at/carputils/index.html"&gt;https://carpentry.medunigraz.at/carputils/index.html&lt;/a&gt;.&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/RCUK/MRC/MR%2FS015086%2F1/">MR/S015086/1</awardNumber>
      <awardTitle>Predicting Atrial Fibrillation Mechanisms Through Deep Learning</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/RCUK/EPSRC/EP%2FM012492%2F1/">EP/M012492/1</awardNumber>
      <awardTitle>Personalised Model Based Optimal Lead Guidance in Cardiac Resynchronisation Therapy</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/RCUK/EPSRC/NS%2FA000049%2F1/">NS/A000049/1</awardNumber>
      <awardTitle>Wellcome EPSRC Centre for Medical Engineering</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/RCUK/EPSRC/EP%2FP01268X%2F1/">EP/P01268X/1</awardNumber>
      <awardTitle>Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models</awardTitle>
    </fundingReference>
  </fundingReferences>
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