Deep learning method for aortic root detection.

Journal: Computers in biology and medicine
Published Date:

Abstract

BACKGROUND: Computed tomography angiography (CTA) is a preferred imaging technique for a wide range of vascular diseases. However, extensive manual analysis is required to detect and identify several anatomical landmarks for clinical application. This study demonstrates the feasibility of a fully automatic method for detecting the aortic root, which is a key anatomical landmark in this type of procedure. The approach is based on the use of deep learning techniques that attempt to mimic expert behavior.

Authors

  • Pablo G Tahoces
    Department of Electronics and Computer Science, Universidad de Santiago de Compostela, Santiago de Compostela, Spain. Electronic address: pablo.tahoces@usc.es.
  • Rafael Varela
    Complejo Hospitalario Universitario de Santiago (CHUS), Santiago de Compostela, Spain.
  • Jose M Carreira
    Complejo Hospitalario Universitario de Santiago (CHUS), Santiago de Compostela, Spain.