Volume 39, Issue 10 p. 6264-6275
Radiation imaging physics

Quantification of arterial flow using digital subtraction angiography

Odile Bonnefous

Odile Bonnefous

Philips Research, Paris 92150, France

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Vitor Mendes Pereira

Vitor Mendes Pereira

Department of Medical Imaging and Information Sciences, Interventional Neuroradiology Unit, University Hospitals of Geneva, Geneva 1211, Switzerland

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Rafik Ouared

Rafik Ouared

Department of Medical Imaging and Information Sciences, Interventional Neuroradiology Unit, University Hospitals of Geneva, Geneva 1211, Switzerland

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Olivier Brina

Olivier Brina

Department of Medical Imaging and Information Sciences, Interventional Neuroradiology Unit, University Hospitals of Geneva, Geneva 1211, Switzerland

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Hans Aerts

Hans Aerts

Interventional X-Ray, Philips Healthcare, Best 5680DA, The Netherlands

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Roel Hermans

Roel Hermans

Interventional X-Ray, Philips Healthcare, Best 5680DA, The Netherlands

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Fred van Nijnatten

Fred van Nijnatten

Interventional X-Ray, Philips Healthcare, Best 5680DA, The Netherlands

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Jean Stawiaski

Jean Stawiaski

Interventional X-Ray, Philips Healthcare, Best 5680DA, The Netherlands

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Daniel Ruijters

Daniel Ruijters

Interventional X-Ray, Philips Healthcare, Best 5680DA, The Netherlands

Author to whom correspondence should be addressed. Electronic mail: [email protected]

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First published: 27 September 2012
Citations: 58

Abstract

Purpose:

In this paper, a method for the estimation of arterial hemodynamic flow from x-ray video densitometry data is proposed and validated using anin vitro setup.

Methods:

The method is based on the acquisition of three-dimensional rotational angiography and digital subtraction angiography sequences. A modest contrast injection rate (between 1 and 4 ml/s) leads to a contrast density that is modulated by the cardiac cycle, which can be measured in the x-ray signal. An optical flow based approach is used to estimate the blood flow velocities from the cyclic phases in the x-ray signal.

Results:

The authors have validated this methodin vitro, and present three clinical cases. The in vitro experiments compared the x-ray video densitometry results with the gold standard delivered by a flow meter. Linear correlation analysis and regression fitting showed that the ideal slope of 1 and intercept of 0 were contained within the 95 percentile confidence interval. The results show that a frame rate higher than 50 Hz allows measuring flows in the range of 2 ml/s to 6 ml/s within an accuracy of 5%.

Conclusions:

Thein vitro and clinical results indicate that it is feasible to estimate blood flow in routine interventional procedures. The availability of an x-ray based method for quantitative flow estimation is particularly clinically useful for intra-cranial applications, where other methods, such as ultrasound Doppler, are not available.