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3 July 1998 Modified distance-density methods for instantaneous angiographic blood-flow measurement
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Abstract
Blood flow rate is an important parameter for functional evaluation of vascular disease. Instantaneous blood flow measurements from digital cerebral angiograms can be performed during endovascular interventional procedures providing interventional radiologists with minimally invasive real-time flow measurements. Distance-density curve matching (DDCM) methods are a promising class of videodensitometric techniques. However, published techniques have a relatively low theoretical maximum of measurable flow rate and sensitivity to noise and image artifacts. We investigate the use of alternative difference metrics along with curve fitting and extrapolation. These modifications can potentially reduce the influence of noise, image defects and flow irregularities. Extrapolation of difference profiles may overcome the theoretical limit for maximum measurable flow rate. The proposed methods were evaluated using both simulated angiograms and angiograms obtained by imaging a flow phantom under clinically realistic flow and contrast injection conditions. Our results indicate that under the conditions of constant flow the proposed modifications yield some improvement in both accuracy and reliability of instantaneous flow rate measurements. These improvements were the most noticeable during the early contrast wash-out phase, when the published DDCM methods were observed to fail.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simon D. Shpilfoygel, Robert A. Close, Reza Jahan, Gary R. Duckwiler M.D., and Daniel J. Valentino "Modified distance-density methods for instantaneous angiographic blood-flow measurement", Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); https://doi.org/10.1117/12.312569
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