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Murine pulmonary imaging at 7T: T 2 * and T 1 with anisotropic UTE
Author(s) -
Guo Jinbang,
Cao Xuefeng,
Cleveland Zackary I.,
Woods Jason C.
Publication year - 2018
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26872
Subject(s) - anisotropy , ellipsoid , resolution (logic) , image resolution , nuclear magnetic resonance , magnetic resonance imaging , lung , physics , sampling (signal processing) , nuclear medicine , materials science , optics , medicine , computer science , radiology , astronomy , artificial intelligence , detector
Purpose To measure theT 2 *and T 1 of mouse lung at 7T via anisotropic‐resolution radial ultrashort echo‐time imaging with ellipsoidal k‐space coverage. Methods Ellipsoidal field‐of‐view was created by expanding uniform spherical k‐space coverage. The effects ofT 2 *and ellipsoidal sampling on image resolution were investigated by using point‐spread‐function analysis and resolution phantoms. Finally, this ellipsoidal sampling approach was used to measure the lungT 2 *and T 1 of healthy C57BL/6 mice at the increasingly common preclinical field strength of 7T. Results Lung parenchymaT 2 *of 17‐ to 23‐week‐old mice at 7T was 0.395 ± 0.033 ms. T 1 of lung and left‐ and right‐heart ventricles was 1452.5 ± 87.0 ms, 1810.5 ± 54.6 ms, and 1602.6 ± 120.9 ms, respectively. Ellipsoidal k‐space sampling provides enhanced resolution for a fixed scanning time or provides equivalent (although anisotropic) spatial resolution with reduced scanning times, while simultaneously avoiding fold‐in artifacts. Conclusion Using these techniques, the firstT 2 *and T 1 measures of mouse lung at 7T are reported. Ultrashort echo‐time imaging with ellipsoidal k‐space coverage significantly increases in‐plane resolution without increasing scanning time, or equivalently, decreases scanning time while maintaining equivalent in‐plane resolution. Magn Reson Med 79:2254–2264, 2018. © 2017 International Society for Magnetic Resonance in Medicine.