Blood Flow Measurement using Digital Subtraction Angiography for Assessing Hemodialysis Access Function

被引:4
|
作者
Koirala, Nischal [1 ,2 ]
Setser, Randolph M. [3 ]
Bullen, Jennifer [4 ]
McLennan, Gordon [2 ]
机构
[1] Cleveland State Univ, Dept Chem & Biomed Engn, Cleveland, OH 44115 USA
[2] Cleveland Clin, Dept Biomed Engn, Cleveland, OH 44106 USA
[3] Siemens Med Solut USA Inc, Cleveland, OH USA
[4] Cleveland Clin, Dept Quantitat Hlth Sci, Cleveland, OH 44106 USA
关键词
Blood flow; bolus tracking algorithm; cross correlation; digital subtraction angiography; flow phantom; hemodialysis access; indicator-dilution principle; thermodilution; DOPPLER ULTRASOUND; VELOCITY; QUANTIFICATION; CONTRAST; VALIDATION; ARTERIES;
D O I
10.1117/12.2253929
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Blood flow rate is a critical parameter for diagnosing dialysis access function during fistulography where a flow rate of 600 ml/min in arteriovenous graft or 400-500 ml/min in arteriovenous fistula is considered the clinical threshold for fully functioning access. In this study, a flow rate computational model for calculating intra-access flow to evaluate dialysis access patency was developed and validated in an in vitro set up using digital subtraction angiography. Flow rates were computed by tracking the bolus through two regions of interest using cross correlation (XCOR) and mean arrival time (MAT) algorithms, and correlated versus an in-line transonic flow meter measurement. The mean difference (mean. standard deviation) between XCOR and in-line flow measurements for in vitro setup at 3, 6, 7.5 and 10 frames/s was 118 +/- 63; 37 +/- 59; 31 +/- 31; and 46.+/- 57 ml/min respectively while for MAT method it was 86 +/- 56; 57 +/- 72; 35 +/- 85; and 19 +/- 129 ml/min respectively. The result of this investigation will be helpful for selecting candidate algorithms while blood flow computational tool is developed for clinical application.
引用
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页数:15
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