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Accurate T1 mapping for oxygen-enhanced MRI in the mouse lung using a segmented inversion-recovery ultrashort echo-time sequence.

M Zurek ; E Johansson ; F Risse ; Daniel Alamidi ; L E Olsson ; Paul Hockings (Institutionen för signaler och system, Signalbehandling)
Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine (1522-2594). Vol. 71 (2014), 6, p. 2180-2185.
[Artikel, refereegranskad vetenskaplig]

Purpose: A segmented inversion-recovery module combined with the 2D ultrashort echo time radial technique is proposed that allows accurate pixel level T-1 mapping of mouse lung in vivo. Methods: Numerical simulations were performed to estimate T-1 measurement accuracy and precision versus flip angle and signal-to-noise ratio. Phantom measurements were used for protocol validation, where the segmented inversion-recovery ultrashort echo-time sequence was compared with the reference technique (inversion-recovery rapid acquisition with refocused echoes). The in vivo experiments were carried out on free-breathing C57 mice (n = 10), breathing first air and then oxygen. Results: The simulations demonstrated the high potential of the technique for accurate and precise T-1 assessment. Phantom experiments showed good agreement for T-1 values measured with segmented inversion-recovery ultrashort echo-time and the reference technique. The in vivo experiment demonstrated the utility of the technique in oxygen-enhanced assessment, where small T-1 changes were detected with high precision. Conclusion: Segmented inversion-recovery ultrashort echo-time provides accurate, high resolution T-1 mapping of the lung parenchyma. Magn Reson Med 71:2180-2185, 2014. (c) 2013 Wiley Periodicals, Inc.

Nyckelord: T-1 mapping; lung MRI; ultrashort echo-time; UTE; segmented inversion recovery; oxygen-enhanced imaging; mouse



Denna post skapades 2013-11-12. Senast ändrad 2015-05-06.
CPL Pubid: 186499

 

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Institutioner (Chalmers)

Institutionen för kliniska vetenskaper, sektionen för onkologi, radiofysik, radiologi och urologi, Avdelningen för radiofysik (GU)
Institutionen för signaler och system, Signalbehandling (1900-2017)

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