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Quantification of Blood Velocity with 4D Digital Subtraction Angiography Using the Shifted Least-Squares Method.
- Source :
-
AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2018 Oct; Vol. 39 (10), pp. 1871-1877. Date of Electronic Publication: 2018 Sep 13. - Publication Year :
- 2018
-
Abstract
- Background and Purpose: 4D-DSA provides time-resolved 3D-DSA volumes with high temporal and spatial resolutions. The purpose of this study is to investigate a shifted least squares method to estimate the blood velocity from the 4D DSA images. Quantitative validation was performed using a flow phantom with an ultrasonic flow probe as ground truth. Quantification of blood velocity in human internal carotid arteries was compared with measurements generated from 3D phase-contrast MR imaging.<br />Materials and Methods: The centerlines of selected vascular segments and the time concentration curves of each voxel along the centerlines were determined from the 4D-DSA dataset. The temporal shift required to achieve a minimum difference between any point and other points along the centerline of a segment was calculated. The temporal shift as a function of centerline point position was fit to a straight line to generate the velocity. The proposed shifted least-squares method was first validated using a flow phantom study. Blood velocities were also estimated in the 14 ICAs of human subjects who had both 4D-DSA and phase-contrast MR imaging studies. Linear regression and correlation analysis were performed on both the phantom study and clinical study, respectively.<br />Results: Mean velocities of the flow phantom calculated from 4D-DSA matched very well with ultrasonic flow probe measurements with 11% relative root mean square error. Mean blood velocities of ICAs calculated from 4D-DSA correlated well with phase-contrast MR imaging measurements with Pearson correlation coefficient r = 0.835.<br />Conclusions: The availability of 4D-DSA provides the opportunity to use the shifted least-squares method to estimate velocity in vessels within a 3D volume.<br /> (© 2018 by American Journal of Neuroradiology.)
Details
- Language :
- English
- ISSN :
- 1936-959X
- Volume :
- 39
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- AJNR. American journal of neuroradiology
- Publication Type :
- Academic Journal
- Accession number :
- 30213811
- Full Text :
- https://doi.org/10.3174/ajnr.A5793