Rhode, KS; Lambrou, T; Hawkes, DJ; Seifalian, AM; (2005) Novel approaches to the measurement of arterial blood flow from dynamic digital X-ray images. IEEE T MED IMAGING , 24 (4) 500 - 513. 10.1109/TMI.2004.843202.
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We have developed two new algorithms for the measurement of blood flow from dynamic X-ray angiographic images. Both algorithms aim to improve on existing techniques. First, a model-based (MB) algorithm is used to constrain the concentration-distance curve matching approach. Second, a weighted optical flow algorithm (OP) is used to improve on point-based optical flow methods by averaging velocity estimates along a vessel with weighting based on the magnitude of the spatial derivative. The OP algorithm was validated using a computer simulation of pulsatile blood flow. Both the OP and the MB algorithms were validated using a physiological blood flow circuit. Dynamic biplane digital X-ray images were acquired following injection of iodine contrast medium into a variety of simulated arterial vessels. The image data were analyzed using our integrated angiographic analysis software SARA to give blood How waveforms using the NIB and OP algorithms. These waveforms were compared to flow measured using an electromagnetic flow meter (EMF). In total 4935 instantaneous measurements of flow were made and compared to the EMF recordings. It was found that the new algorithms showed low measurement bias and narrow limits of agreement and also outperformed the concentration-distance curve matching algorithm (ORG) and a modification of this algorithm (PA) in all studies.
|Title:||Novel approaches to the measurement of arterial blood flow from dynamic digital X-ray images|
|Keywords:||blood flow measurement, X-ray angiography, X-ray measurements, SUBTRACTION ANGIOGRAPHY, VELOCITY-MEASUREMENT, RADIOGRAPHIC TECHNIQUE, CONTRAST-MEDIUM, WAVE-FORMS, VALIDATION, INJECTION, TRACKING, VOLUME, MODEL|
|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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