Cite this abstract
http://echo.ismrm.org/p/ISMRM2020/0596
0596
ISMRM Abstract
3D-BUDA Enables Rapid Distortion-Free QSM Acquisition
Accepted
Full abstract & presentation
The full text, figures, and any recorded presentation for this abstract are not shown here.
This content is freely available and no longer restricted to registered attendees. Log in or create a free account to view it.
Log inReferences
1. Wu B, Li W, Avram AV, Gho S-M, Liu C. Fast and tissue-optimized mapping of magnetic susceptibility and T2* with multi-echo and multi-shot spirals. Neuroimage 2012;59:297–305 doi: 10.1016/j.neuroimage.2011.07.019 . [doi]
2. Breuer FA, Blaimer M, Mueller MF, et al. Controlled aliasing in volumetric parallel imaging (2D CAIPIRINHA). Magn. Reson. Med. 2006;55:549–556 doi: 10.1002/mrm.20787 . [doi]
3. Bilgic B, Gagoski BA, Cauley SF, et al. Wave-CAIPI for highly accelerated 3D imaging. Magn. Reson. Med. 2015;73:2152–2162 doi: 10.1002/mrm.25347 . [doi]
4. Poser BA, Koopmans PJ, Witzel T, Wald LL, Barth M. Three dimensional echo-planar imaging at 7 Tesla. Neuroimage 2010;51:261–266 doi: 10.1016/j.neuroimage.2010.01.108. [doi]
5. Zahneisen B, Ernst T, Poser BA. SENSE and simultaneous multislice imaging. Magn. Reson. Med. 2015;74:1356–1362 doi: 10.1002/mrm.25519. [doi]
6. Langkammer C, Bredies K, Poser BA, et al. Fast quantitative susceptibility mapping using 3D EPI and total generalized variation. Neuroimage 2015;111 doi: 10.1016/j.neuroimage.2015.02.041 . [doi]
7. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: Sensitivity encoding for fast MRI. Magn. Reson. Med. 1999;42:952–962.
8. Andersson JLR, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage 2003;20:870–888 doi: 10.1016/S1053-8119(03)00336-7 . [doi]
9. Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23:S208–S219 doi: 10.1016/j.neuroimage.2004.07.051 . [doi]
10. Zahneisen B, Aksoy M, Maclaren J, Wuerslin C, Bammer R. Extended hybrid-space SENSE for EPI: Off-resonance and eddy current corrected joint interleaved blip-up/down reconstruction. Neuroimage 2017;153:97–108 doi: 10.1016/J.NEUROIMAGE.2017.03.052 . [doi]
11. Maggioni M, Katkovnik V, Egiazarian K, Foi A. Nonlocal transform-domain filter for volumetric data denoising and reconstruction. IEEE Trans. Image Process. 2013;22:119–133 doi: 10.1109/TIP.2012.2210725 . [doi]
12. Eksioglu EM. Decoupled Algorithm for MRI Reconstruction Using Nonlocal Block Matching Model: BM3D-MRI. J. Math. Imaging Vis. 2016;56:430–440 doi: 10.1007/s10851-016-0647-7 . [doi]
13. Yoon J, Gong E, Chatnuntawech I, et al. Quantitative susceptibility mapping using deep neural network: QSMnet. Neuroimage 2018;179:199–206 doi: 10.1016/J.NEUROIMAGE.2018.06.030 . [doi]
14. Liu T, Spincemaille P, de Rochefort L, Kressler B, Wang Y. Calculation of susceptibility through multiple orientation sampling (COSMOS): A method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI. Magn. Reson. Med. 2009;61:196–204 doi: 10.1002/mrm.21828 . [doi]
15. Milovic C, Bilgic B, Zhao B, Acosta-Cabronero J, Tejos C. Fast nonlinear susceptibility inversion with variational regularization. Magn. Reson. Med. 2018;80:814–821 doi: 10.1002/mrm.27073 . [doi]
16. Li W, Wu B, Liu C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 2011;55:1645–1656 doi: 10.1016/j.neuroimage.2010.11.088 . [doi]
17. Wu B, Li W, Guidon A, Liu C. Whole brain susceptibility mapping using compressed sensing. Magn. Reson. Med. 2012;67:137–147 doi: 10.1002/mrm.23000 . [doi]
18. Schweser F, Sommer K, Deistung A, Reichenbach JR. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain. Neuroimage 2012;62:2083–100 doi: 10.1016/j.neuroimage.2012.05.067 . [doi]