Simultaneous multi-slice MRI using cartesian and radial FLASH and regularized nonlinear inversion: SMS-NLINV
Corresponding Author
Sebastian Rosenzweig
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
Correspondence to: Sebastian Rosenzweig, M.Sc., Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany. E-mail: [email protected]Search for more papers by this authorHans Christian Martin Holme
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Search for more papers by this authorRobin N. Wilke
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Search for more papers by this authorDirk Voit
Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
Search for more papers by this authorJens Frahm
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
Search for more papers by this authorMartin Uecker
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Search for more papers by this authorCorresponding Author
Sebastian Rosenzweig
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
Correspondence to: Sebastian Rosenzweig, M.Sc., Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany. E-mail: [email protected]Search for more papers by this authorHans Christian Martin Holme
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Search for more papers by this authorRobin N. Wilke
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Search for more papers by this authorDirk Voit
Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
Search for more papers by this authorJens Frahm
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
Search for more papers by this authorMartin Uecker
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
German Centre for Cardiovascular Research (DZHK), Partner site Göttingen, Göttingen, Germany
Search for more papers by this authorPart of this work has been presented at the ISMRM Annual Conference 2016 (Singapore) and 2017 (Honolulu).
Abstract
Purpose
The development of a calibrationless parallel imaging method for accelerated simultaneous multi-slice (SMS) MRI based on Regularized Nonlinear Inversion (NLINV), evaluated using Cartesian and radial fast low-angle shot (FLASH).
Theory and Methods
NLINV is a parallel imaging method that jointly estimates image content and coil sensitivities using a Newton-type method with regularization. Here, NLINV is extended to SMS-NLINV for reconstruction and separation of all simultaneously acquired slices. The performance of the extended method is evaluated for different sampling schemes using phantom and in vivo experiments based on Cartesian and radial SMS-FLASH sequences.
Results
The basic algorithm was validated in Cartesian experiments by comparison with ESPIRiT. For Cartesian and radial sampling, improved results are demonstrated compared to single-slice experiments, and it is further shown that sampling schemes using complementary samples outperform schemes with the same samples in each partition.
Conclusion
The extension of the NLINV algorithm for SMS data was implemented and successfully demonstrated in combination with a Cartesian and radial SMS-FLASH sequence. Magn Reson Med 79:2057–2066, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Supporting Information
Additional Supporting Information may be found in the online version of this article.
| Filename | Description |
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| mrm26878-sup-0001-suppinfo1.pdf2 MB |
Fig. S1. Comparison of different acquisition and reconstruction strategies for radial measurements on the brick phantom with
Fig. S2. Difference images in image and k-space for SMS (M = 3, slice distance
Fig. S3. Comparison of different acquisition and reconstruction strategies for radial measurements on the brick phantom with
Fig. S4. Residuum of the SMS-NLINV reconstruction in Figure 7 against the number of Newton steps. |
spokes per partition or slice and a fully sampled reference scan with
spokes per slice. a) Single-slice acquisition and NLINV reconstruction for each slice. b) SMS acquisition and SMS-NLINV reconstruction for M = 2 and aligned (left), linear-turn-based (center) and golden-angle-turn-based sampling (right). Slice distance
mm. A magnified region-of-interest indicated by a white rectangle is shown as inset on the bottom right of every image.
mm, linear-turn-based spoke distribution) acquisitions with
(fully sampled reference) and
spokes per partition. For better visibility, the intensity of the difference images was increased by a factor of 5 and the k-spaces were additionally depicted using the ln-scale.
spokes per partition or slice and a fully sampled reference scan with
spokes per slice. a) Single-slice acquisition and NLINV reconstruction for each slice. b) SMS acquisition and SMS-NLINV reconstruction for M = 2 and aligned (left), linear-turn-based (center) and golden-angle-turn-based sampling (right). Slice distance
mm. c) SMS acquisition and SMS-NLINV reconstruction for M = 3 and aligned (left), linear-turn-based (center) and golden-angle-turn-based sampling (right). Only the outermost slices with slice distance
mm are depicted.Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- 1
Pruessmann KP,
Weiger M,
Scheidegger MB,
Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999; 42: 952–962.
10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S CAS PubMed Web of Science® Google Scholar
- 2 Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 2002; 47: 1202–1210.
- 3 Lustig M, Pauly JM. SPIRiT: iterative self-consistent parallel imaging reconstruction from arbitrary k-space. Magn Reson Med 2010; 64: 457–471.
- 4 Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M. ESPIRiT–an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn Reson Med 2014; 71: 990–1001.
- 5 Uecker M, Hohage T, Block KT, Frahm J. Image reconstruction by regularized nonlinear inversion–joint estimation of coil sensitivities and image content. Magn Reson Med 2008; 60: 674–682.
- 6 Uecker M, Zhang S, Voit D, Karaus A, Merboldt KD, Frahm J. Real-time MRI at a resolution of 20 ms. NMR Biomed 2010; 23: 986–994.
- 7
Larkman DJ,
Hajnal JV,
Herlihy AH,
Coutts GA,
Young IR,
Ehnholm G. Use of multicoil arrays for separation of signal from multiple slices simultaneously excited. J Magn Reson Imaging 2001; 13: 313–317.
10.1002/1522-2586(200102)13:2<313::AID-JMRI1045>3.0.CO;2-W CAS PubMed Web of Science® Google Scholar
- 8 Moeller S, Yacoub E, Olman CA, Auerbach E, Strupp J, Harel N, Uğurbil K. Multiband multislice GE-EPI at 7 Tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn Reson Med 2010; 63: 1144–1153.
- 9 Feinberg DA, Moeller S, Smith SM, Auerbach E, Ramanna S, Glasser MF, Miller KL, Ugurbil K, Yacoub E. Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging. PLoS One 2010; 5: e15710.
- 10 Maudsley AA. Multiple-line-scanning spin density imaging. J Magn Reson 1980; 41: 112–126.
- 11 Souza SP, Szumowski J, Dumoulin CL, Plewes DP, Glover G. SIMA: simultaneous multislice acquisition of MR images by Hadamard-encoded excitation. J Comput Assist Tomogr 1988; 12: 1026–1030.
- 12 Weiger M, Pruessmann KP, Boesiger P. 2D sense for faster 3D MRI. Magn Reson Mater Phys Biol Med 2002; 14: 10–19.
- 13 Wiesinger F, Boesiger P, Pruessmann KP. Electrodynamics and ultimate SNR in parallel MR imaging. Magn Reson Med 2004; 52: 376–390.
- 14 Breuer FA, Blaimer M, Heidemann RM, Mueller MF, Griswold MA, Jakob PM. Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging. Magn Reson Med 2005; 53: 684–691.
- 15 Yutzy SR, Seiberlich N, Duerk JL, Griswold MA. Improvements in multislice parallel imaging using radial CAIPIRINHA. Magn Reson Med 2011; 65: 1630–1637.
- 16 Wang H, Adluru G, Chen L, Kholmovski EG, Bangerter NK, DiBella EVR. Radial simultaneous multi-slice CAIPI for ungated myocardial perfusion. Magn Reson Imaging 2016; 34: 1329–1336.
- 17 Setsompop K, Gagoski BA, Polimeni JR, Witzel T, Wedeen VJ, Wald LL. Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn Reson Med 2012; 67: 1210–1224.
- 18 Rosenzweig S, Uecker M. Reconstruction of multiband MRI data using Regularized Nonlinear Inversion. In Proceedings of the 24th Annual Meeting of ISMRM, Singapore, 2016. p. 3259.
- 19 Knoll F, Clason C, Uecker M, Stollberger R. Improved Reconstruction in Non-Cartesian Parallel Imaging by Regularized Nonlinear Inversion. In Proceedings of the 17th Annual Meeting of ISMRM, Honolulu, Hawaii, USA, 2009. p. 2721.
- 20 Wajer FTAW, Pruessmann KP. Major speedup of reconstruction for sensitivity encoding with arbitrary trajectories. In Proceedings of the 9th Annual Meeting of ISMRM, Glasgow, UK, 2001. p. 0767.
- 21 Zhu K, Kerr A, Pauly JM. Autocalibrating CAIPIRINHA: Reformulating CAIPIRINHA as a 3D Problem. In Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia, 2012. p. 0518.
- 22 Zhou Z, Han F, Yan L, Wang DJ, Hu P. Golden-ratio rotated stack-of-stars acquisition for improved volumetric MRI. Magn Reson Med 2017; 78: 2290–2298.
- 23 Uecker M, Ong F, Tamir JI, Bahri D, Virtue P, Cheng JY, Zhang T, Lustig M. Berkeley advanced reconstruction toolbox. In Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Canada, 2015. p. 2486.
- 24 Rosenzweig S, Holme HCM, Wilke RN, Uecker M. Simultaneous multi-slice real-time Imaging with radial multi-band FLASH and nonlinear inverse reconstruction. In Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, Hawaii, USA, 2017. p. 518.
- 25 Uecker M, Zhang S, Frahm J. Nonlinear inverse reconstruction for real-time MRI of the human heart using undersampled radial FLASH. Magn Reson Med 2010; 63: 1456–1462.
- 26 Voit D, Zhang S, UnterbergBuchwald C, Sohns JM, Lotz J, Frahm J. Real-time cardiovascular magnetic resonance at 1.5 T using balanced SSFP and 40 ms resolution. J Cardiovasc Magn Reson 2013; 15: 1–8.
- 27 Zhang S, Uecker M, Voit D, Merboldt K, Frahm J. Real-time cardiovascular magnetic resonance at high temporal resolution: radial FLASH with nonlinear inverse reconstruction. J. Cardiovasc Magn Reson 2010; 12: 39.
- 28 Wu Z, Chen W, Khoo MCK, Davidson Ward SL, Nayak KS. Evaluation of upper airway collapsibility using real-time MRI. J Magn Reson Imaging 2016; 44: 158–167.
- 29 Stäb D, Ritter CO, Breuer FA, Weng AM, Hahn D, Köstler H. CAIPIRINHA accelerated SSFP imaging. Magn Reson Med 2011; 65: 157–164.
- 30 Uecker M, Block KT, Frahm J. Nonlinear inversion with L1-wavelet regularization – application to autocalibrated parallel imaging. In Proceedings of the 16th Annual Meeting of ISMRM, Toronto, Canada, 2008. p. 1479.
- 31 Knoll F, Bredies K, Pock T, Stollberger R. Second order total generalized variation (TGV) for MRI. Magn Reson Med 2011; 65: 480–491.
