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Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms

Masoumi, Nima; Belasso, Clyde; M. Omair Ahmad; Habib Benali; Xiao, Yiming; Rivaz, Hassan


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  <identifier identifierType="DOI">10.5281/zenodo.2652540</identifier>
  <creators>
    <creator>
      <creatorName>Masoumi, Nima</creatorName>
      <givenName>Nima</givenName>
      <familyName>Masoumi</familyName>
    </creator>
    <creator>
      <creatorName>Belasso, Clyde</creatorName>
      <givenName>Clyde</givenName>
      <familyName>Belasso</familyName>
    </creator>
    <creator>
      <creatorName>M. Omair Ahmad</creatorName>
    </creator>
    <creator>
      <creatorName>Habib Benali</creatorName>
    </creator>
    <creator>
      <creatorName>Xiao, Yiming</creatorName>
      <givenName>Yiming</givenName>
      <familyName>Xiao</familyName>
    </creator>
    <creator>
      <creatorName>Rivaz, Hassan</creatorName>
      <givenName>Hassan</givenName>
      <familyName>Rivaz</familyName>
    </creator>
  </creators>
  <titles>
    <title>Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>CT US Registration</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-03-08</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2652540</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2483401</relatedIdentifier>
  </relatedIdentifiers>
  <version>2</version>
  <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;There is a new version of the data available. Please update the most recent version.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Three different datasets of vertebrae with corresponding computed tomography (CT) and ultrasound (US) images are presented. In the first dataset, three human patients lumbar vertebrae are presented and the US images are simulated from their CT images. The second dataset includes corresponding CT, US, and simulated US images of a phantom made from post-mortem canine cervical and thoracic vertebrae. The last phantom consists of the CT, US, and simulated US images of a phantom made from a post-mortem lamb lumbar vertebrae. For each of the two latter datasets, we also provide 21 landmark pairs of matching structures between the CT and US images and performed fiducial registration to acquire a silver standard for assessing image registration.&lt;/p&gt;

&lt;p&gt;The datasets can be used to test CT-US image registration techniques and to validate techniques that simulate US from CT&lt;/p&gt;</description>
  </descriptions>
</resource>
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