Richard B Thompson, Christopher Keen, Richard Coulden, Hefin Jones, Robert W Stobbe, Justin G Grenier
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引用次数: 0
Abstract
Purpose: Develop and illustrate a 3D double half-echo Cartesian UTE method for spin-density weighted imaging of the lung parenchyma and calculation of lung water density (LWD).
Methods: A 3D gradient-echo pulse sequence was modified to acquire half-echoes, to enable UTEs (TE/TR = 145 μs/1.2 ms), with an acquired resolution of 3.125 mm by 3.125 mm by 5 mm. Breath-hold (12.9 s) and free-breathing (94 s) acquisitions, using a center of k-space navigator, were compared to a previously validated yarnball UTE sequence (1.5T/2.89T). Apparent SNR in the lung parenchyma was measured for all in-vivo acquisitions. Illustrative clinical cases included heart failure and sarcoidosis with a comparison to CT images.
Results: Lung image quality and calculated LWD was similar for all compared methods at 1.5T and 2.89T for breath-hold and free-breathing acquisitions (N = 10, p > 0.05), with no visible artifacts. The mean lung parenchyma SNR values were 18.4 ± 1.4, 21.8 ± 1.7 and 15.1 ± 1.0 for 1.5T free-breathing, 2.89T free-breathing and 2.89T breath-hold, respectively, and 20.7 ± 1.1 for yarnball acquisitions (2.89T), with corresponding average LWD values of 26.7 ± 2.9%, 27.1 ± 2.5%, 27.1 ± 2.1% and 27.7 ± 2.7%. MRI LWD images and CT scans yielded similar image contrast and normalized signal intensity units. All Cartesian UTE images were reconstructed on the scanner without the requirement for gridding.
Conclusions: A double half-echo Cartesian UTE pulse sequence provides water-density weighted images of the lung parenchyma in a breath-hold or short free-breathing acquisition with sufficient signal to noise for quantification of LWD at 1.5T or 2.89T.
期刊介绍:
Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.