Comparison of in-vivo and ex-vivo ascending aorta elastic properties through automatic deep learning segmentation of cine-mri and biomechanical testing

HIGHLIGHTS

• who: Markodimitrakis et al. from the ImViA Laboratory, EA, University of Burgundy and Franche-Comte, Dijon, France have published the article: Comparison of In-Vivo and Ex-Vivo Ascending Aorta Elastic Properties through Automatic Deep Learning Segmentation of Cine-MRI and Biomechanical Testing, in the Journal: (JOURNAL) of 25/Nov/2022
• what: The aim of this work is to assess the elastic properties of four different quadrants of the aorta and compare the results with equivalent properties obtained The aim of this comparison is to investigate if the proposed non-invasive method for the calculation . . .
  

   

  

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