Title :
Automated quantification of flow velocity and volume in the ascending and descending aorta using flow velocity mapping
Author :
van der Geest, R.J. ; Buller, V.G.M. ; Reiber, J.H.C.
Author_Institution :
Dept. of Diagnostic Radiol., Leiden Univ. Hospital, Netherlands
Abstract :
MR flow velocity mapping is a non-invasive imaging technique for the quantification of velocity and flow in vessel cross-sections. Integrating the instantaneous flow values over the complete cardiac cycle results in accurate assessment of stroke volumes through a particular vessel cross-section. Currently, manual contour tracing methods are used to delineate the vessel borders in each individual time frame. An automated method has been developed which corrects both for motion and shape changes of the vessel over the cardiac cycle. The results of the automated method were compared to results derived from manually traced contours in studies of the ascending and descending aorta from ten healthy volunteers. An excellent agreement in stroke volume measurements was observed (correlation coefficient 0.99). The average analysis time per study was less than 10 seconds
Keywords :
angiocardiography; biomedical NMR; blood flow measurement; edge detection; medical image processing; MR flow velocity mapping; automated method; automated quantification; complete cardiac cycle; correlation coefficient; descending aorta; flow velocity; flow volume; manually traced contours; motion; noninvasive imaging technique; shape changes; stroke volume measurements; stroke volumes; time frame; vessel borders; vessel cross-sections; Arteries; Biomedical imaging; Cardiac disease; Detection algorithms; Image edge detection; Image processing; Laboratories; Motion detection; Shape measurement; Software packages;
Conference_Titel :
Computers in Cardiology 1995
Conference_Location :
Vienna
Print_ISBN :
0-7803-3053-6
DOI :
10.1109/CIC.1995.482563