Meeting Banner
Abstract #2714

Quantification of flow rates in short vessel segments from arterial spin labeling dynamic angiography

Flora A. Kennedy McConnell 1 , Thomas W. Okell 2 , Michael A. Chappell 1 , and Stephen J. Payne 1

1 Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, Oxfordshire, United Kingdom, 2 FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, Oxfordshire, United Kingdom

Conventional angiography techniques only provide qualitative information about cerebrovascular disease and collateral blood flow. Here a novel mathematical model for the quantification of blood flow rates from dynamic MR angiography data is proposed. Fitting the model to vessel-encoded pseudo-continuous arterial spin labeled signals from a flow phantom allowed accurate estimation of water flow rates in short vessel segments. Applying the method to healthy volunteer data produced brain-feeding artery flow rate estimates within physiological norms. Also demonstrated was the potential of the technique to identify and estimate flow through often unseen, collateral vessels by fitting the model to signals detected downstream.

This abstract and the presentation materials are available to members only; a login is required.

Join Here