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
Link To Document :
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