Accelerated visualization of selected intracranial arteries by cycled super-selective arterial spin labeling

Standard

Accelerated visualization of selected intracranial arteries by cycled super-selective arterial spin labeling. / Lindner, Thomas; Larsen, Naomi; Jansen, Olav; Helle, Michael.

in: MAGN RESON MATER PHY, Jahrgang 29, Nr. 6, 12.2016, S. 843-852.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

APA

Vancouver

Bibtex

@article{9c2bdc17ca5244749429dcae60c88ff5,
title = "Accelerated visualization of selected intracranial arteries by cycled super-selective arterial spin labeling",
abstract = "OBJECTIVE: To accelerate super-selective arterial spin labeling (ASL) angiography by using a single control condition denoted as cycled super-selective arterial spin labeling.MATERIALS AND METHODS: A single non-selective control image is acquired that is shared by selective label images. Artery-selective imaging is possible by geometrically changing the position of the labeling focus to more than one artery of interest during measurement. The presented approach is compared to conventional super-selective imaging in terms of its labeling efficiency inside and outside the labeling focus using numerical simulations and in vivo measurements. Additionally, the signal-to-noise ratios of the images are compared to non-selective ASL angiography and analyzed using a two-way ANOVA test and calculating the Pearson's correlation coefficients.RESULTS: The results indicate that the labeling efficiency is not reduced within the labeled artery, but can increase as a function of distance to the artery of interest when compared to conventional super-selective ASL. In the final images, no statistically significant difference of image quality can be observed while the acquisition duration could be reduced when the major brain feeding arteries are being tagged.CONCLUSION: Using super-selective arterial spin labeling, a single non-selective control acquisition suffices for reconstructing selective angiograms of the cerebral vasculature, thereby accelerating image acquisition of the major intracranial arteries without notable loss of information.",
keywords = "Angiography, Arteries/diagnostic imaging, Cerebral Arteries/diagnostic imaging, Cerebrovascular Circulation, Computer Simulation, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Angiography, Magnetic Resonance Imaging, Models, Theoretical, Reproducibility of Results, Signal-To-Noise Ratio, Spin Labels",
author = "Thomas Lindner and Naomi Larsen and Olav Jansen and Michael Helle",
year = "2016",
month = dec,
doi = "10.1007/s10334-016-0574-z",
language = "English",
volume = "29",
pages = "843--852",
journal = "MAGN RESON MATER PHY",
issn = "1352-8661",
publisher = "Springer",
number = "6",

}

RIS

TY - JOUR

T1 - Accelerated visualization of selected intracranial arteries by cycled super-selective arterial spin labeling

AU - Lindner, Thomas

AU - Larsen, Naomi

AU - Jansen, Olav

AU - Helle, Michael

PY - 2016/12

Y1 - 2016/12

N2 - OBJECTIVE: To accelerate super-selective arterial spin labeling (ASL) angiography by using a single control condition denoted as cycled super-selective arterial spin labeling.MATERIALS AND METHODS: A single non-selective control image is acquired that is shared by selective label images. Artery-selective imaging is possible by geometrically changing the position of the labeling focus to more than one artery of interest during measurement. The presented approach is compared to conventional super-selective imaging in terms of its labeling efficiency inside and outside the labeling focus using numerical simulations and in vivo measurements. Additionally, the signal-to-noise ratios of the images are compared to non-selective ASL angiography and analyzed using a two-way ANOVA test and calculating the Pearson's correlation coefficients.RESULTS: The results indicate that the labeling efficiency is not reduced within the labeled artery, but can increase as a function of distance to the artery of interest when compared to conventional super-selective ASL. In the final images, no statistically significant difference of image quality can be observed while the acquisition duration could be reduced when the major brain feeding arteries are being tagged.CONCLUSION: Using super-selective arterial spin labeling, a single non-selective control acquisition suffices for reconstructing selective angiograms of the cerebral vasculature, thereby accelerating image acquisition of the major intracranial arteries without notable loss of information.

AB - OBJECTIVE: To accelerate super-selective arterial spin labeling (ASL) angiography by using a single control condition denoted as cycled super-selective arterial spin labeling.MATERIALS AND METHODS: A single non-selective control image is acquired that is shared by selective label images. Artery-selective imaging is possible by geometrically changing the position of the labeling focus to more than one artery of interest during measurement. The presented approach is compared to conventional super-selective imaging in terms of its labeling efficiency inside and outside the labeling focus using numerical simulations and in vivo measurements. Additionally, the signal-to-noise ratios of the images are compared to non-selective ASL angiography and analyzed using a two-way ANOVA test and calculating the Pearson's correlation coefficients.RESULTS: The results indicate that the labeling efficiency is not reduced within the labeled artery, but can increase as a function of distance to the artery of interest when compared to conventional super-selective ASL. In the final images, no statistically significant difference of image quality can be observed while the acquisition duration could be reduced when the major brain feeding arteries are being tagged.CONCLUSION: Using super-selective arterial spin labeling, a single non-selective control acquisition suffices for reconstructing selective angiograms of the cerebral vasculature, thereby accelerating image acquisition of the major intracranial arteries without notable loss of information.

KW - Angiography

KW - Arteries/diagnostic imaging

KW - Cerebral Arteries/diagnostic imaging

KW - Cerebrovascular Circulation

KW - Computer Simulation

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Magnetic Resonance Angiography

KW - Magnetic Resonance Imaging

KW - Models, Theoretical

KW - Reproducibility of Results

KW - Signal-To-Noise Ratio

KW - Spin Labels

U2 - 10.1007/s10334-016-0574-z

DO - 10.1007/s10334-016-0574-z

M3 - SCORING: Journal article

C2 - 27356930

VL - 29

SP - 843

EP - 852

JO - MAGN RESON MATER PHY

JF - MAGN RESON MATER PHY

SN - 1352-8661

IS - 6

ER -