Self-controlled super-selective arterial spin labelling

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Self-controlled super-selective arterial spin labelling. / Lindner, Thomas; Austein, Friederike; Jansen, Olav; Helle, Michael.

In: EUR RADIOL, Vol. 28, No. 3, 03.2018, p. 1227-1233.

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Lindner, T, Austein, F, Jansen, O & Helle, M 2018, 'Self-controlled super-selective arterial spin labelling', EUR RADIOL, vol. 28, no. 3, pp. 1227-1233. https://doi.org/10.1007/s00330-017-5066-7

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@article{1a50c930cb68455a87625853b6925c3e,
title = "Self-controlled super-selective arterial spin labelling",
abstract = "OBJECTIVES: Arterial spin labelling (ASL) is a method of non-contrast-enhanced perfusion imaging that is generally based on the acquisition of two images which must be subtracted in order to obtain perfusion-weighted images. This is also the case for some flow territory mapping approaches that require the acquisition of two images for each artery of interest, thereby prolonging scan time and yielding largely redundant information. The aim of this study is to accelerate flow territory mapping using ASL by eliminating the acquisition of a control condition.METHODS: Using super-selective ASL, only one artery of interest is tagged, while the contralateral arteries are in a state similar to the control condition. By using an arithmetic combination of the label images of all territories, selective images of flow territories can be obtained without the need to acquire an additional control condition. This approach for obtaining artery-selective perfusion-weighted images without acquiring a control condition is presented in this study and is referred to as {"}self-controlled super-selective ASL{"}.RESULTS: Quantitative perfusion measurements were similar to conventional super-selective and non-selective perfusion imaging across all subjects.CONCLUSION: Super-selective arterial spin labelling can be performed without acquiring a control image.KEY POINTS: • An accelerated method of flow territory mapping is presented. • Super-selective arterial spin labelling is performed without a control condition. • A new approach for calculating individual flow territories is presented. • The presented technique is compared to established approaches. • The outcome is similar to that using conventional techniques.",
keywords = "Adult, Cerebral Arteries/diagnostic imaging, Cerebrovascular Circulation/physiology, Electron Spin Resonance Spectroscopy/methods, Female, Healthy Volunteers, Humans, Magnetic Resonance Angiography/methods, Male, Spin Labels, Young Adult",
author = "Thomas Lindner and Friederike Austein and Olav Jansen and Michael Helle",
year = "2018",
month = mar,
doi = "10.1007/s00330-017-5066-7",
language = "English",
volume = "28",
pages = "1227--1233",
journal = "EUR RADIOL",
issn = "0938-7994",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Self-controlled super-selective arterial spin labelling

AU - Lindner, Thomas

AU - Austein, Friederike

AU - Jansen, Olav

AU - Helle, Michael

PY - 2018/3

Y1 - 2018/3

N2 - OBJECTIVES: Arterial spin labelling (ASL) is a method of non-contrast-enhanced perfusion imaging that is generally based on the acquisition of two images which must be subtracted in order to obtain perfusion-weighted images. This is also the case for some flow territory mapping approaches that require the acquisition of two images for each artery of interest, thereby prolonging scan time and yielding largely redundant information. The aim of this study is to accelerate flow territory mapping using ASL by eliminating the acquisition of a control condition.METHODS: Using super-selective ASL, only one artery of interest is tagged, while the contralateral arteries are in a state similar to the control condition. By using an arithmetic combination of the label images of all territories, selective images of flow territories can be obtained without the need to acquire an additional control condition. This approach for obtaining artery-selective perfusion-weighted images without acquiring a control condition is presented in this study and is referred to as "self-controlled super-selective ASL".RESULTS: Quantitative perfusion measurements were similar to conventional super-selective and non-selective perfusion imaging across all subjects.CONCLUSION: Super-selective arterial spin labelling can be performed without acquiring a control image.KEY POINTS: • An accelerated method of flow territory mapping is presented. • Super-selective arterial spin labelling is performed without a control condition. • A new approach for calculating individual flow territories is presented. • The presented technique is compared to established approaches. • The outcome is similar to that using conventional techniques.

AB - OBJECTIVES: Arterial spin labelling (ASL) is a method of non-contrast-enhanced perfusion imaging that is generally based on the acquisition of two images which must be subtracted in order to obtain perfusion-weighted images. This is also the case for some flow territory mapping approaches that require the acquisition of two images for each artery of interest, thereby prolonging scan time and yielding largely redundant information. The aim of this study is to accelerate flow territory mapping using ASL by eliminating the acquisition of a control condition.METHODS: Using super-selective ASL, only one artery of interest is tagged, while the contralateral arteries are in a state similar to the control condition. By using an arithmetic combination of the label images of all territories, selective images of flow territories can be obtained without the need to acquire an additional control condition. This approach for obtaining artery-selective perfusion-weighted images without acquiring a control condition is presented in this study and is referred to as "self-controlled super-selective ASL".RESULTS: Quantitative perfusion measurements were similar to conventional super-selective and non-selective perfusion imaging across all subjects.CONCLUSION: Super-selective arterial spin labelling can be performed without acquiring a control image.KEY POINTS: • An accelerated method of flow territory mapping is presented. • Super-selective arterial spin labelling is performed without a control condition. • A new approach for calculating individual flow territories is presented. • The presented technique is compared to established approaches. • The outcome is similar to that using conventional techniques.

KW - Adult

KW - Cerebral Arteries/diagnostic imaging

KW - Cerebrovascular Circulation/physiology

KW - Electron Spin Resonance Spectroscopy/methods

KW - Female

KW - Healthy Volunteers

KW - Humans

KW - Magnetic Resonance Angiography/methods

KW - Male

KW - Spin Labels

KW - Young Adult

U2 - 10.1007/s00330-017-5066-7

DO - 10.1007/s00330-017-5066-7

M3 - SCORING: Journal article

C2 - 28971235

VL - 28

SP - 1227

EP - 1233

JO - EUR RADIOL

JF - EUR RADIOL

SN - 0938-7994

IS - 3

ER -