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Validation of an optical flow algorithm to measure blood flow waveforms in arteries using dynamic digital x-ray images

Rhode, K; Lambrou, T; Hawkes, DJ; Hamilton, G; Seifalian, AM; (2000) Validation of an optical flow algorithm to measure blood flow waveforms in arteries using dynamic digital x-ray images. MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2 , 1 (24) 1414 - 1425.

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Abstract

We have developed a weighted optical flow algorithm for the extraction of instantaneous blood velocity from dynamic digital x-ray images of blood vessels. We have carried out in-vitro validation of this technique.A pulsatile physiological blood flow circuit was constructed using sections of silicone tubing to simulate blood vessels with whole blood as the fluid. Instantaneous recording of flow from an electromagnetic flow meter (EMF) provided the gold standard measurement. Biplanar dynamic digital x-ray images of the blood vessel with injection of contrast medium were acquired at 25 fps using a PC frame capture card. Imaging of a Perspex calibration cube allowed 3D reconstruction of the vessel and determination of true dimensions. Blood flow waveforms were calculated off-line on a Sun workstation using the new algorithm.The correlation coefficient between instantaneous blood flow values obtained from the EMF and the x-ray method was r = 0.871, n = 1184, p<0.0001. The correlation coefficient for average blood flow was r = 0.898, n = 16, p<0.001.We have successfully demonstrated that our new algorithm can measure pulsatile blood flow in a vessel phantom. We aim to use this algorithm to measure blood flow clinically in patients undergoing vascular interventional procedures.

Type:Article
Title:Validation of an optical flow algorithm to measure blood flow waveforms in arteries using dynamic digital x-ray images
Location:SAN DIEGO, CA
Keywords:x-ray angiography, blood flow measurement, optical flow, SUBTRACTION ANGIOGRAPHY, VELOCITY-MEASUREMENT, INJECTION
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Medical Sciences > Surgery and Interventional Science (Division of) > Research Department of General Surgery
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering

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