% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Polak:131733, author = {D. Polak$^*$ and K. Setsompop and S. F. Cauley and B. A. Gagoski and H. Bhat and F. Maier$^*$ and P. Bachert$^*$ and L. L. Wald and B. Bilgic}, title = {{W}ave-{CAIPI} for highly accelerated {MP}-{RAGE} imaging.}, journal = {Magnetic resonance in medicine}, volume = {79}, number = {1}, issn = {0740-3194}, address = {New York, NY [u.a.]}, publisher = {Wiley-Liss}, reportid = {DKFZ-2018-00039}, pages = {401 - 406}, year = {2018}, abstract = {To introduce a highly accelerated T1-weighted magnetization-prepared rapid gradient echo (MP-RAGE) acquisition that uses wave-controlled aliasing in parallel imaging (wave-CAIPI) encoding to retain high image quality.Significant acceleration of the MP-RAGE sequence is demonstrated using the wave-CAIPI technique. Here, sinusoidal waveforms are used to spread aliasing in all three directions to improve the g-factor. Combined with a rapid (2 s) coil sensitivity acquisition and data-driven trajectory calibration, we propose an online integrated acquisition-reconstruction pipeline for highly efficient MP-RAGE imaging.The 9-fold accelerated MP-RAGE acquisition can be performed in 71 s, with a maximum and average g-factor of gmax = 1.27 and gavg = 1.06 at 3T. Compared with the state-of-the-art method controlled aliasing in parallel imaging results in higher acceleration (2D-CAIPIRINHA), this is a factor of 4.6/1.4 improvement in gmax /gavg . In addition, we demonstrate a 57 s acquisition at 7T with 12-fold acceleration. This acquisition has a g-factor performance of gmax = 1.15 and gavg = 1.04.Wave encoding overcomes the g-factor noise amplification penalty and allows for an order of magnitude acceleration of MP-RAGE acquisitions. Magn Reson Med 79:401-406, 2018. © 2017 International Society for Magnetic Resonance in Medicine.}, cin = {E020}, ddc = {610}, cid = {I:(DE-He78)E020-20160331}, pnm = {315 - Imaging and radiooncology (POF3-315)}, pid = {G:(DE-HGF)POF3-315}, typ = {PUB:(DE-HGF)16}, pubmed = {pmid:28220617}, pmc = {pmc:PMC5563495}, doi = {10.1002/mrm.26649}, url = {https://inrepo02.dkfz.de/record/131733}, }