Retrospective rigid motion correction of three-dimensional magnetic resonance fingerprinting of the human brain.
3D motion correction
MR fingerprinting
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
26
02
2020
revised:
06
04
2020
accepted:
07
04
2020
pubmed:
6
5
2020
medline:
15
5
2021
entrez:
6
5
2020
Statut:
ppublish
Résumé
To obtain three-dimensional (3D), quantitative and motion-robust imaging with magnetic resonance fingerprinting (MRF). Our acquisition is based on a 3D spiral projection k-space scheme. We compared different orderings of trajectory interleaves in terms of rigid motion-correction robustness. In all tested orderings, we considered the whole dataset as a sum of 56 segments of 7-s duration, acquired sequentially with the same flip angle schedule. We performed a separate image reconstruction for each segment, producing whole-brain navigators that were aligned to the first segment using normalized correlation. The estimated rigid motion was used to correct the k-space data, and the aligned data were matched with the dictionary to obtain motion-corrected maps. A significant improvement on the motion-affected maps after motion correction is evident with the suppression of motion artifacts. Correlation with the motionless baseline improved by 20% on average for both T We established a method that allows correcting 3D rigid motion on a 7-s timescale during the reconstruction of MRF data using self-navigators, improving the image quality and the quantification robustness.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2606-2615Informations de copyright
© 2020 International Society for Magnetic Resonance in Medicine.
Références
Godenschweger F, Kägebein U, Stucht D, et al. Motion correction in MRI of the brain. Phys Med Biol. 2016;61:R32-R56.
Maclaren J, Herbst M, Speck O, Zaitsev M. Prospective motion correction in brain imaging: A review. Magn Reson Med. 2013;69:621-636.
Zaitsev M, Maclaren J, Herbst M. Motion artifacts in MRI: A complex problem with many partial solutions. J Magn Reson Imaging. 2015;42:887-901.
Brown TT, Kuperman JM, Erhart M, et al. Prospective motion correction of high-resolution magnetic resonance imaging data in children. Neuroimage. 2010;53:139-145.
Lawson GR. Sedation of children for magnetic resonance imaging. Arch Dis Child. 2000;82:150-153.
Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495:187-192.
Weigel M. Extended phase graphs: Dephasing, RF pulses, and echoes - pure and simple. J Magn Reson Imaging. 2015;41:266-295.
Hennig J, Weigel M, Scheffler K. Calculation of flip angles for echo trains with predefined amplitudes with the extended phase graph (EPG)-algorithm: Principles and applications to hyperecho and TRAPS sequences. Magn Reson Med. 2004;51:68-80.
Cencini M, Biagi L, Kaggie JD, Schulte RF, Tosetti M, Buonincontri G. Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach. Magn Reson Med. 2019;81:3032-3045.
Buonincontri G, Sawiak SJ. MR fingerprinting with simultaneous B1 estimation. Magn Reson Med. 2016;76:1127-1135.
Chen Y, Chen MH, Baluyot KR, Potts TM, Jimenez J, Lin W. MR fingerprinting enables quantitative measures of brain tissue relaxation times and myelin water fraction in the first five years of life. Neuroimage. 2019;186:782-793.
Buonincontri G, Biagi L, Retico A, et al. Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T. Neuroimage. 2019;195:362-372.
Körzdörfer G, Kirsch R, Liu K, et al. Multicenter and multiscanner reproducibility of magnetic resonance fingerprinting relaxometry in the brain. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB, 2018. https://doi.org/10.1148/radiol.2019182360.
Panda A, Chen Y, Ropella-Panagis K, et al. Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue. J Magn Reson Imaging. 2019;50:1133-1143.
Pierre EY, Ma D, Chen Y, Badve C, Griswold MA. Multiscale reconstruction for MR fingerprinting. Magn Reson Med. 2016;75:2481-2492.
Mazor G, Weizman L, Tal A, Eldar YC. Low-rank magnetic resonance fingerprinting. Med Phys. 2018;45:4066-4084.
Assländer J, Cloos MA, Knoll F, Sodickson DK, Hennig J, Lattanzi R. Low rank alternating direction method of multipliers reconstruction for MR fingerprinting. Magn Reson Med. 2018;79:83-96.
Zhao BO, Setsompop K, Adalsteinsson E, et al. Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling. Magn Reson Med. 2018;79:933-942.
Cao X, Liao C, Wang Z, et al. Robust sliding-window reconstruction for Accelerating the acquisition of MR fingerprinting. Magn Reson Med. 2017;78:1579-1588.
Ma D, Jiang Y, Chen Y, et al. Fast 3D magnetic resonance fingerprinting for a whole-brain coverage. Magn Reson Med. 2018;79:2190-2197.
Liao C, Bilgic B, Manhard MK, et al. 3D MR fingerprinting with accelerated stack-of-spirals and hybrid sliding-window and GRAPPA reconstruction. Neuroimage. 2017;162:13-22.
Cao X, Ye H, Liao C, Li Q, He H, Zhong J. Fast 3D brain MR fingerprinting based on multi-axis spiral projection trajectory. Magn Reson Med. 2019;82:289-301.
Ma D, Jones SE, Deshmane A, et al. Development of high-resolution 3D MR fingerprinting for detection and characterization of epileptic lesions. J Magn Reson Imaging. 2019;49:1333-1346.
Yu Z, Zhao T, Assländer J, Lattanzi R, Sodickson DK, Cloos MA. Exploring the sensitivity of magnetic resonance fingerprinting to motion. Magn Reson Imaging. 2018;54:241-248.
Cruz G, Jaubert O, Schneider T, Botnar RM, Prieto C. Rigid motion-corrected magnetic resonance fingerprinting. Magn Reson Med. 2019;81:947-961.
Mehta BB, Ma D, Pierre EY, Jiang Y, Coppo S, Griswold MA. Image reconstruction algorithm for motion insensitive MR Fingerprinting (MRF): MORF. Magn Reson Med. 2018;80:2485-2500.
Xu Z, Ye H, Lyu M, et al. Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration. Magn Reson Imaging. 2019;57:303-312.
Cruz G, René B, Prieto C. Motion corrected Magnetic Resonance Fingerprinting using Soft-weighted key-Hole (MRF- McSOHO). In ISMRM 23rd Annual Meeting and Exhibition, Honolulu, Hawaii, 2015. https://doi.org/10.1371/journal.pone.0201808.
Gómez PA, Cencini M, Golbabaee M, et al. Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging. 2020:arXiv:2001.07173.
McGivney DF, Pierre E, Ma D, et al. SVD compression for magnetic resonance fingerprinting in the time domain. IEEE Trans Med Imaging. 2014;33:2311-2322.
Jackson JI, Meyer CH, Nishimura DG, Macovski A. Selection of a convolution function for fourier inversion using gridding. IEEE Trans Med Imaging. 1991;10:473-478.
Walsh DO, Gmitro AF, Marcellin MW. Adaptive reconstruction of phased array MR imagery. Magn Reson Med. 2000;43:682-690.
Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magn Reson Med. 2015;74:1621-1631.
Penny W, Friston K, Ashburner J, Kiebel S, Nichols T. Statistical Parametric Mapping: The Analysis of Functional Brain Images. Massachusetts: Academic Press; 2006.
Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis: I. Segmentation and surface reconstruction. Neuroimage. 1999;9:179-194.
Lin LI-K. A Concordance correlation coefficient to evaluate reproducibility. Biometrics. 1989;45:255.
Ma D, Coppo S, Chen Y, et al. Slice profile and B1 corrections in 2D magnetic resonance fingerprinting. Magn Reson Med. 2017;78:1781-1789.
Wansapura JP, Holland SK, Dunn RS, Ball WS. NMR relaxation times in the human brain at 3.0 Tesla. J Magn Reson Imaging. 1999;9:531-538.
Poon CS, Henkelman RM. Practical T2 quantitation for clinical applications. J Magn Reson Imaging. 1992;2:541-553.
Whittall KP, MacKay AL, Graeb DA, Nugent RA, Li DKB, Paty DW. In vivo measurement of T2 distributions and water contents in normal human brain. Magn Reson Med. 1997;37:34-43.
Deoni SCL, Peters TM, Rutt BK. High-resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2. Magn Reson Med. 2005;53:237-241.
Winkelmann S, Schaeffter T, Koehler T, Eggers H, Doessel O. An optimal radial profile order based on the golden ratio for time-resolved MRI. IEEE Trans Med Imaging. 2007;26:68-76.
Lee PK, Watkins LE, Anderson TI, Buonincontri G, Hargreaves BA. Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations. Magn Reson Med. 2019;82:1438-1451.
Assländer J, Glaser SJ, Hennig J. Pseudo steady-state free precession for MR-fingerprinting. Magn Reson Med. 2017;77:1151-1161.
Andre JB, Bresnahan BW, Mossa-Basha M, et al. Toward quantifying the prevalence, severity, and cost associated with patient motion during clinical MR examinations. J Am Coll Radiol. 2015;12:689-695.
Schulte-Uentrop L, Goepfert MS. Anaesthesia or sedation for MRI in children. Curr Opin Anaesthesiol. 2010;23:513-517.
Liao C, Wang K, Cao X, et al. Detection of lesions in mesial temporal lobe epilepsy by using MR fingerprinting. Radiology. 2018;288:804-812.
Badve C, Yu A, Dastmalchian S, et al. MR fingerprinting of adult brain tumors: Initial experience. Am J Neuroradiol. 2017;38:492-499.