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        <datestamp>2024-03-06T10:40:04Z</datestamp>
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          <dc:title>Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution)</dc:title>
          <dc:creator>Chen, Chao</dc:creator>
          <dc:creator>Metaxas, Dimitris</dc:creator>
          <dc:creator>Wang, Yusu</dc:creator>
          <dc:creator>Wu, Pengxiang</dc:creator>
          <dc:subject>image segmentation</dc:subject>
          <dc:subject>trabeculae</dc:subject>
          <dc:subject>persistent homology</dc:subject>
          <dc:subject>homology localization</dc:subject>
          <dc:description>In this video, we present a research project on cardiac trabeculae segmentation. Trabeculae are fine muscle columns within human ventricles whose both ends are attached to the wall. Extracting these structures are very challenging even with state-of-the-art image segmentation techniques. We observed that these structures form natural topological handles. Based on such observation, we developed a topological approach, which employs advanced computational topology methods and achieve high quality segmentation results.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Chao Chen and Dimitris Metaxas and Yusu Wang and Pengxiang Wu</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 77, 33rd International Symposium on Computational Geometry (SoCG 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2017.65</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-72429</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2017.65</dc:identifier>
          <dc:language>eng</dc:language>
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