• DocumentCode
    2952918
  • Title

    Estimation of coronary length-volume allometric relations Of human arteries invivo using CT

  • Author

    Casciaro, Mariano E. ; Craiem, Damian ; Graf, Sebastian ; Gurfinkel, Enrique P. ; Armentano, Ricardo L.

  • Author_Institution
    Favaloro Univeristy, Buenos Aires, Argentina
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    5716
  • Lastpage
    5719
  • Abstract
    Assessing the individual geometry of the coronary arteries in a patient can help to explain diffuse artery disease. Some allometric functions, relating arterial length and volume, were verified in porcine arteries and human autopsies but not in vivo. In this work we use skeletonization methods on MSCT images to render the whole coronary tree in healthy and cardiovascular patients. Twenty patients with and without coronary artery disease were recruited. The coronary was segmented with minimum user intervention. Vessels were separated and measured. A 3D coronary map was individually calculated. The allometric length-volume function L=kvVβ was evaluated in each patient and plotted in a Log-Log scale. The coefficient kv ranged 1.00 ± 0.35. Slopes ranged β = 0.69-0.88 and seemed to overlap in the scatter Log plot. The analysis of covariance verified this perception and concluded that lines were parallel. In other words, the allometric function stood for all patients. Values were not different from other studies in humans and pigs. The combination of multislice CT with morphological extraction algorithms was effective to extract allometric functions from coronary arteries in patients and can be easily applied in the clinic.
  • Keywords
    blood vessels; cardiovascular system; computerised tomography; covariance analysis; diseases; feature extraction; image reconstruction; image segmentation; medical image processing; 3D coronary map; CT; Log-Log scale; arterial length; arterial volume; cardiovascular patients; coronary artery disease; coronary length-volume allometric relations; covariance analysis; diffuse artery disease; human arteries; human autopsies; image segmentation; morphological extraction algorithms; perception; porcine arteries; skeletonization methods; Arteries; Bifurcation; Computed tomography; Heart; Humans; Image reconstruction; Three dimensional displays; Coronary Angiography; Coronary Vessels; Heart; Humans; Imaging, Three-Dimensional; Male; Middle Aged; Organ Size; Radiographic Image Interpretation, Computer-Assisted; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627870
  • Filename
    5627870