Blood flow measurement using digital subtraction angiography for assessing hemodialysis access function

Nischal Koirala; Randolph M. Setser; Jennifer Bullen; Gordon McLennan

doi:10.1117/12.2253929

13 March 2017 Blood flow measurement using digital subtraction angiography for assessing hemodialysis access function

Nischal Koirala, Randolph M. Setser, Jennifer Bullen, Gordon McLennan

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370J (2017) https://doi.org/10.1117/12.2253929
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Nischal Koirala, Randolph M. Setser, Jennifer Bullen, and Gordon McLennan "Blood flow measurement using digital subtraction angiography for assessing hemodialysis access function", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101370J (13 March 2017); https://doi.org/10.1117/12.2253929

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available