Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration

Med Image Anal. 2012 Aug;16(6):1187-201. doi: 10.1016/j.media.2012.05.010. Epub 2012 Jun 21.

Abstract

Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new joint segmentation and registration approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. With this combination, the approach benefits from the robustness of model-based segmentation and the accuracy of elastic registration. The approach can cope with a large spectrum of vessel shapes and particularly with pathological shapes that deviate significantly from the underlying model used for segmentation. The performance of the approach has been evaluated on the basis of 3D synthetic images, 3D phantom data, and clinical 3D CTA images including pathologies. We also performed a quantitative comparison with previous approaches.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Aorta, Thoracic / diagnostic imaging*
  • Aortic Diseases / diagnostic imaging*
  • Artificial Intelligence
  • Coronary Angiography / methods*
  • Humans
  • Imaging, Three-Dimensional / methods*
  • Pattern Recognition, Automated / methods*
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Subtraction Technique*
  • Tomography, X-Ray Computed / methods*