2D Ultrashort Echo-Time Functional Lung Imaging.
2D UTE
MRI
breath-hold
fractional ventilation
lung
perfusion
proton density
self-gating
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
17
03
2020
revised:
10
06
2020
accepted:
11
06
2020
pubmed:
12
7
2020
medline:
15
5
2021
entrez:
12
7
2020
Statut:
ppublish
Résumé
Imaging of the lung by MRI is challenging due to the intrinsic low proton density and rapid T To investigate the feasibility of two-dimensional ultrashort echo-time (2D UTE) imaging for lung function assessment. Prospective. Eleven healthy volunteers. 3T, 2D tiny golden angle UTE (2D-tyUTE). The applicability of breath-hold (BH) and self-gated (SG) 2D-tyUTE for quantification of the lung parenchyma signal-to-noise ratio (SNR), proton fraction (f Analysis of variance (ANOVA), Kendell's W. Significant differences of SNR (EX: 10.98 ± 3.19(BH This study demonstrates the feasibility of 2D-tyUTE for successful quantification of relevant lung function parameters at 3T within clinically attractive acquisition times. The low spatial resolution into the slice selection direction may limit the final sensitivity and needs further clinical evaluation. 2 TECHNICAL EFFICACY STAGE: 1 J. MAGN. RESON. IMAGING 2020;52:1637-1644.
Sections du résumé
BACKGROUND
Imaging of the lung by MRI is challenging due to the intrinsic low proton density and rapid T
PURPOSE
To investigate the feasibility of two-dimensional ultrashort echo-time (2D UTE) imaging for lung function assessment.
STUDY TYPE
Prospective.
POPULATION
Eleven healthy volunteers.
FIELD STRENGTH/SEQUENCE
3T, 2D tiny golden angle UTE (2D-tyUTE).
ASSESSMENT
The applicability of breath-hold (BH) and self-gated (SG) 2D-tyUTE for quantification of the lung parenchyma signal-to-noise ratio (SNR), proton fraction (f
STATISTICAL TESTS
Analysis of variance (ANOVA), Kendell's W.
RESULTS
Significant differences of SNR (EX: 10.98 ± 3.19(BH
DATA CONCLUSION
This study demonstrates the feasibility of 2D-tyUTE for successful quantification of relevant lung function parameters at 3T within clinically attractive acquisition times. The low spatial resolution into the slice selection direction may limit the final sensitivity and needs further clinical evaluation.
LEVEL OF EVIDENCE
2 TECHNICAL EFFICACY STAGE: 1 J. MAGN. RESON. IMAGING 2020;52:1637-1644.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1637-1644Informations de copyright
© 2020 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
Références
Wild JM, Marshall H, Bock M, et al. MRI of the lung (1/3): Methods. Insights Imaging 2012;3:345-353.
Yu J, Xue Y, Song HK. Comparison of lung T2* during free-breathing at 1.5 T and 3.0 T with ultrashort echo time imaging. Magn Reson Med 2011;66:248-254.
Theilmann RJ, Arai TJ, Samiee A, et al. Quantitative MRI measurement of lung density must account for the change in T with lung inflation. J Magn Reson Imaging 2009;30:527-534.
Biederer J, Beer M, Hirsch W, et al. MRI of the lung (2/3). Why… when… how? Insights Imaging 2012;3:355-371.
Puderbach M, Hintze C, Ley S, Eichinger M, Kauczor H-U, Biederer J. MR imaging of the chest: A practical approach at 1.5 T. Eur J Radiol 2007;64:345-355.
Hatabu H, Alsop DC, Listerud J, Bonnet M, Gefter WB. T2* and proton density measurement of normal human lung parenchyma using submillisecond echo time gradient echo magnetic resonance imaging. Eur J Radiol 1999;29:245-252.
Bae K, Jeon KN, Hwang MJ, et al. Comparison of lung imaging using three-dimensional ultrashort echo time and zero echo time sequences: Preliminary study. Eur Radiol 2019;29:2253-2262.
Johnson KM, Fain SB, Schiebler ML, Nagle S. Optimized 3D ultrashort echo time pulmonary MRI. Magn Reson Med 2013;70:1241-1250.
Zhu X, Chan M, Lustig M, Johnson KM, Larson PE. Iterative motion-compensation reconstruction ultra-short TE (iMoCo UTE) for high-resolution free-breathing pulmonary MRI. Magn Reson Med 2020;83:1208-1221.
Mendes Pereira L, Wech T, Weng AM, et al. UTE-SENCEFUL: First results for 3D high-resolution lung ventilation imaging. Magn Reson Med 2019;81:2464-2473.
Tibiletti M, Paul J, Bianchi A, et al. Multistage three-dimensional UTE lung imaging by image-based self-gating. Magn Reson Med 2016;75:1324-1332.
Tibiletti M, Kjørstad A, Bianchi A, Schad LR, Stiller D, Rasche V. Multistage self-gated lung imaging in small rodents. Magn Reson Med 2016;75:2448-2454.
Ma W, Sheikh K, Svenningsen S, et al. Ultra-short echo-time pulmonary MRI: Evaluation and reproducibility in COPD subjects with and without bronchiectasis. J Magn Reson Imaging 2015;41:1465-1474.
Lederlin M, Crémillieux Y. Three-dimensional assessment of lung tissue density using a clinical ultrashort echo time at 3 Tesla: A feasibility study in healthy subjects. J Magn Reson Imaging 2014;40:839-847.
Weiger M, Wu M, Wurnig MC, et al. Rapid and robust pulmonary proton ZTE imaging in the mouse. NMR Biomed 2014;27:1129-1134.
Takizawa M, Hanada H, Oka K, Takahashi T, Yamamoto E, Fujii M. A robust ultrashort TE (UTE) imaging method with corrected k-space trajectory by using parametric multiple function model of gradient waveform. IEEE Trans Med Imaging 2012;32:306-316.
Glover GH, Pauly JM. Projection reconstruction techniques for reduction of motion effects in MRI. Magn Reson Med 1992;28:275-289.
Paul J, Divkovic E, Wundrak S, et al. High-resolution respiratory self-gated golden angle cardiac MRI: Comparison of self-gating methods in combination with k-t SPARSE SENSE. Magn Reson Med 2015;73:292-298.
Weick S, Breuer FA, Ehses P, et al. DC-gated high resolution three-dimensional lung imaging during free-breathing. J Magn Reson Imaging 2013;37:727-732.
Dournes G, Yazbek J, Benhassen W, et al. 3D ultrashort echo time MRI of the lung using stack-of-spirals and spherical k-space coverages: Evaluation in healthy volunteers and parenchymal diseases. J Magn Reson Imaging 2018;48:1489-1497.
Thickman D, Kressel HY, Axel L. Demonstration of pulmonary embolism by magnetic resonance imaging. Am J Roentgenol 1984;142:921-922.
Noll DC, Pauly JM, Meyer CH, Nishimura DG, Macovskj A. Deblurring for non-2D Fourier transform magnetic resonance imaging. Magn Reson Med 1992;25:319-333.
Veldhoen S, Weng AM, Knapp J, et al. Self-gated non-contrast-enhanced functional lung MR imaging for quantitative ventilation assessment in patients with cystic fibrosis. Radiology 2016;283:242-251.
Bauman G, Puderbach M, Deimling M, et al. Non-contrast-enhanced perfusion and ventilation assessment of the human lung by means of Fourier decomposition in proton MRI. Magn Reson Med 2009;62:656-664.
Kauczor H-U, Ebert M, Kreitner K-F, et al. Helium-3-MRT der lungenventilation: erste klinische anwendungen. RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Vol 166. Stuttgart, New York: Georg Thieme; 1997. p 192-198.
Woodhouse N, Wild JM, Paley MN, et al. Combined helium-3/proton magnetic resonance imaging measurement of ventilated lung volumes in smokers compared to never-smokers. J Magn Reson Imaging 2005;21:365-369.
Löffler R, Müller CJ, Peller M, et al. Optimization and evaluation of the signal intensity change in multisection oxygen-enhanced MR lung imaging. Magn Reson Med 2000;43:860-866.
Naish JH, Parker GJ, Beatty PC, et al. Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration. Magn Reson Med 2005;54:464-469.
Fischer A, Weick S, Ritter CO, et al. Self-gated non-contrast-enhanced functional lung imaging (SENCEFUL) using a quasi-random fast low-angle shot (FLASH) sequence and proton MRI. NMR Biomed 2014;27:907-917.
Johnson G, Wadghiri YZ, Turnbull DH. 2D multislice and 3D MRI sequences are often equally sensitive. Magn Reson Med 1999;41:824-828.
Chan TF, Vese LA. Active contours without edges. IEEE Trans Image Process 2001;10:266-277.
Rasche V, Binner L, Cavagna F, et al. Whole-heart coronary vein imaging: A comparison between non-contrast-agent-and contrast-agent-enhanced visualization of the coronary venous system. Magn Reson Med 2007;57:1019-1026.
Zapke M, Topf H-G, Zenker M, et al. Magnetic resonance lung function-a breakthrough for lung imaging and functional assessment? A phantom study and clinical trial. Respir Res 2006;7:106.
Myronenko A. MIRT - Medical image registration toolbox for Matlab. 2018. https://sites.google.com/site/myronenko/research/mirt
Kjørstad A, Corteville DM, Fischer A, et al. Quantitative lung perfusion evaluation using Fourier decomposition perfusion MRI. Magn Reson Med 2014;72:558-562.
Fischer A, Pracht ED, Arnold JF, Kotas M, Flentje M, Jakob PM. Assessment of pulmonary perfusion in a single shot using SEEPAGE. J Magn Reson Imaging 2008;27:63-70.
Pracht ED, Fischer A, Arnold JF, Kotas M, Flentje M, Jakob PM. Single-shot quantitative perfusion imaging of the human lung. Magn Reson Med 2006;56:1347-1351.
Biederer J, Mirsadraee S, Beer M, et al. MRI of the lung (3/3)-Current applications and future perspectives. Insights Imaging 2012;3:373-386.
Fink C, Puderbach M, Biederer J, et al. Lung MRI at 1.5 and 3 Tesla: Observer preference study and lesion contrast using five different pulse sequences. Invest Radiol 2007;42:377-383.
Karimi R, Tornling G, Forsslund H, et al. Lung density on high resolution computer tomography (HRCT) reflects degree of inflammation in smokers. Respir Res 2014;15:23.