Image acquisition for intravoxel incoherent motion imaging of kidneys should be triggered at the instant of maximum blood velocity: evidence obtained with simulations and in vivo experiments.
Details
Serval ID
serval:BIB_74D530C8D467
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Image acquisition for intravoxel incoherent motion imaging of kidneys should be triggered at the instant of maximum blood velocity: evidence obtained with simulations and in vivo experiments.
Journal
Magnetic resonance in medicine
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Publication state
Published
Issued date
01/2019
Peer-reviewed
Oui
Volume
81
Number
1
Pages
583-593
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
To demonstrate that diffusion-weighted images should be acquired at the instant of maximum blood velocity in kidneys to extract the perfusion fraction (PF) by the bi-exponential intravoxel incoherent motion model.
The PF values were measured in Monte-Carlo simulations corresponding to different blood velocities with a constant known PF. The distribution of the measured PF values (PF-distribution) was characterized quantitatively by 3 markers highlighting the deviation of the measurement from the true PF. Diffusion-weighted images of kidneys were acquired in 10 healthy volunteers at the instant of maximal respectively minimal blood velocity in the renal artery (V <sub>max</sub> versus V <sub>min</sub> acquisition). The PF-distributions measured from the V <sub>max</sub> and V <sub>min</sub> acquisitions were compared mutually and with simulated PF-distributions using the 3 markers. A radiologist evaluated the quality of the PF maps.
The PF-distributions measured in the simulations were spread around the true PF value, and spreading was reduced as blood velocity increased. A comparison between simulated and in vivo PF-distributions suggests that a similar phenomenon is plausible in vivo. The quality of the PF maps of the V <sub>max</sub> -acquisition was scored higher by the radiologist than those of the V <sub>min</sub> -acquisition in 95% of cases (19 of 20).
The PF maps are of better quality when the V <sub>max</sub> -acquisition is used. We show evidence supporting the hypothesis that the variation of PF along the cardiac cycle is due to oscillations between a poor estimation when the blood velocity is low, and a better estimation when blood velocity is higher.
The PF values were measured in Monte-Carlo simulations corresponding to different blood velocities with a constant known PF. The distribution of the measured PF values (PF-distribution) was characterized quantitatively by 3 markers highlighting the deviation of the measurement from the true PF. Diffusion-weighted images of kidneys were acquired in 10 healthy volunteers at the instant of maximal respectively minimal blood velocity in the renal artery (V <sub>max</sub> versus V <sub>min</sub> acquisition). The PF-distributions measured from the V <sub>max</sub> and V <sub>min</sub> acquisitions were compared mutually and with simulated PF-distributions using the 3 markers. A radiologist evaluated the quality of the PF maps.
The PF-distributions measured in the simulations were spread around the true PF value, and spreading was reduced as blood velocity increased. A comparison between simulated and in vivo PF-distributions suggests that a similar phenomenon is plausible in vivo. The quality of the PF maps of the V <sub>max</sub> -acquisition was scored higher by the radiologist than those of the V <sub>min</sub> -acquisition in 95% of cases (19 of 20).
The PF maps are of better quality when the V <sub>max</sub> -acquisition is used. We show evidence supporting the hypothesis that the variation of PF along the cardiac cycle is due to oscillations between a poor estimation when the blood velocity is low, and a better estimation when blood velocity is higher.
Keywords
Adult, Algorithms, Blood Flow Velocity, Computer Simulation, Diffusion Magnetic Resonance Imaging, Female, Healthy Volunteers, Humans, Image Interpretation, Computer-Assisted/methods, Image Processing, Computer-Assisted/methods, Kidney/diagnostic imaging, Male, Monte Carlo Method, Motion, Perfusion, Young Adult, IVIM, diffusion, kidneys, perfusion
Pubmed
Web of science
Open Access
Yes
Create date
04/09/2018 10:50
Last modification date
04/01/2020 6:17