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
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