http://www.nitrc.org/forum/forum.php?forum_id=5917 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>Accelerating functional MRI using fixed-rank approximations and radial-cartesian sampling.</b></p> <p>Magn Reson Med. 2016 Jan 17;</p> <p>Authors: Chiew M, Graedel NN, McNab JA, Smith SM, Miller KL</p> <p>Abstract<br/> PURPOSE: Recently, k-t FASTER (fMRI Accelerated in Space-time by means of Truncation of Effective Rank) was introduced for rank-constrained acceleration of fMRI data acquisition. Here we demonstrate improvements achieved through a hybrid three-dimensional radial-Cartesian sampling approach that allows posthoc selection of acceleration factors, as well as incorporation of coil sensitivity encoding in the reconstruction.<br/> METHODS: The multicoil rank-constrained reconstruction used hard thresholding and shrinkage on matrix singular values of the space-time data matrix, using sensitivity encoding and the nonuniform Fast Fourier Transform to enforce data consistency in the multicoil non-Cartesian k-t domain. Variable acceleration factors were made possible using a radial increment based on the golden ratio. Both retrospective and prospectively under-sampled data were used to assess the fidelity of the enhancements to the k-t FASTER technique in resting and task-fMRI data.<br/> RESULTS: The improved k-t FASTER is capable of tailoring acceleration factors for recovery of different signal components, achieving up to R = 12.5 acceleration in visual-motor task data. The enhancements reduce data matrix reconstruction errors even at much higher acceleration factors when compared directly with the original k-t FASTER approach.<br/> CONCLUSION: We have shown that k-t FASTER can be used to significantly accelerate fMRI data acquisition with little penalty to data quality. Magn Reson Med, 2016. © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.<br/> </p><p>PMID: 26777798 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Mon, 04 May 2026 2:09:17 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator