• DocumentCode
    2106103
  • Title

    Effects of aging on thoracic aorta size and shape: A non-contrast CT study

  • Author

    Craiem, D. ; Casciaro, M.E. ; Graf, Sebastian ; Chironi, G. ; Simon, A. ; Armentano, Ricardo L.

  • Author_Institution
    Fac. de Cienc. Exactas y Naturales, Favaloro Univ., Buenos Aires, Argentina
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    4986
  • Lastpage
    4989
  • Abstract
    Measures of atherosclerosis burden like coronary artery calcification are performed using non-contrast heart CT. However, additional information can be derived from these studies, looking beyond the coronary arteries without exposing the patients to further radiation. We present a semi-automated method to assess ascending, arch and descending aorta geometry from non-contrast CT datasets in 250 normotensive patients. We investigated the effect of aging on thoracic aorta morphometry. The algorithm identifies the aortic centerline coordinates following a toroidal path for the curvilinear portion and axial planes for descending aorta. Then it reconstructs oblique planes orthogonal to the centerline direction and a circle fitting process estimates the vessel cross-section. Finally, global thoracic aorta dimensions (diameter, volume and length) and shape (vessel curvature and tortuosity, aortic arch width and height) are calculated. From a multivariate analysis, adjusted for gender and body-size area, aortic volume and arch width were the descriptors that better represented the aortic size and shape alterations with aging. The thoracic aorta suffers an expanding and unfolding process with aging that deserves further attention to prevent aortic aneurisms.
  • Keywords
    blood vessels; cardiology; computerised tomography; diseases; image reconstruction; image segmentation; medical image processing; aging effect; aorta geometry; aortic aneurisms; aortic arch height; aortic arch width; aortic centerline coordinates; atherosclerosis; body-size area; centerline direction; circle fitting process; coronary artery calcification; curvilinear portion; gender; global thoracic aorta dimensions; image acquisition; image segmentation routine; multivariate analysis; noncontrast CT datasets; noncontrast heart CT study; normotensive patients; oblique plane orthogonal reconstruction; semiautomated method; thoracic aorta morphometry; thoracic aorta shape; thoracic aorta size; toroidal path; tortuosity; vessel cross-section; vessel curvature; Aging; Arteries; Biomedical imaging; Computed tomography; Estimation; Image segmentation; Shape; Adult; Aged; Aging; Aorta, Thoracic; Aortography; Computer Simulation; Humans; Male; Middle Aged; Models, Anatomic; Models, Cardiovascular; Organ Size; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347112
  • Filename
    6347112