Literature DB >> 25079076

Accelerated 1 H MRSI using randomly undersampled spiral-based k-space trajectories.

Itthi Chatnuntawech1, Borjan Gagoski2, Berkin Bilgic3, Stephen F Cauley3, Kawin Setsompop3,4, Elfar Adalsteinsson1,5,6.   

Abstract

PURPOSE: To develop and evaluate the performance of an acquisition and reconstruction method for accelerated MR spectroscopic imaging (MRSI) through undersampling of spiral trajectories. THEORY AND METHODS: A randomly undersampled spiral acquisition and sensitivity encoding (SENSE) with total variation (TV) regularization, random SENSE+TV, is developed and evaluated on single-slice numerical phantom, in vivo single-slice MRSI, and in vivo three-dimensional (3D)-MRSI at 3 Tesla. Random SENSE+TV was compared with five alternative methods for accelerated MRSI.
RESULTS: For the in vivo single-slice MRSI, random SENSE+TV yields up to 2.7 and 2 times reduction in root-mean-square error (RMSE) of reconstructed N-acetyl aspartate (NAA), creatine, and choline maps, compared with the denoised fully sampled and uniformly undersampled SENSE+TV methods with the same acquisition time, respectively. For the in vivo 3D-MRSI, random SENSE+TV yields up to 1.6 times reduction in RMSE, compared with uniform SENSE+TV. Furthermore, by using random SENSE+TV, we have demonstrated on the in vivo single-slice and 3D-MRSI that acceleration factors of 4.5 and 4 are achievable with the same quality as the fully sampled data, as measured by RMSE of reconstructed NAA map, respectively.
CONCLUSION: With the same scan time, random SENSE+TV yields lower RMSEs of metabolite maps than other methods evaluated. Random SENSE+TV achieves up to 4.5-fold acceleration with comparable data quality as the fully sampled acquisition. Magn Reson Med 74:13-24, 2015.
© 2014 Wiley Periodicals, Inc. © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  compressed sensing; magnetic resonance spectroscopic imaging (MRSI); parallel imaging; random undersampling; spiral trajectory

Year:  2014        PMID: 25079076     DOI: 10.1002/mrm.25394

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  14 in total

Review 1.  Imaging based magnetic resonance spectroscopy (MRS) localization for quantitative neurochemical analysis and cerebral metabolism studies.

Authors:  Phil Lee; Peter Adany; In-Young Choi
Journal:  Anal Biochem       Date:  2017-01-10       Impact factor: 3.365

2.  Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces.

Authors:  Fan Lam; Yudu Li; Rong Guo; Bryan Clifford; Zhi-Pei Liang
Journal:  Magn Reson Med       Date:  2019-09-04       Impact factor: 4.668

3.  Simultaneous Time Interleaved MultiSlice (STIMS) for Rapid Susceptibility Weighted acquisition.

Authors:  Berkin Bilgic; Huihui Ye; Lawrence L Wald; Kawin Setsompop
Journal:  Neuroimage       Date:  2017-04-20       Impact factor: 6.556

4.  COMPARTMENTALIZED LOW-RANK REGULARIZATION WITH ORTHOGONALITY CONSTRAINTS FOR HIGH-RESOLUTION MRSI.

Authors:  Ipshita Bhattacharya; Mathews Jacob
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2016-06-16

5.  Removal of nuisance signals from limited and sparse 1H MRSI data using a union-of-subspaces model.

Authors:  Chao Ma; Fan Lam; Curtis L Johnson; Zhi-Pei Liang
Journal:  Magn Reson Med       Date:  2015-03-11       Impact factor: 4.668

6.  Accelerated high-bandwidth MR spectroscopic imaging using compressed sensing.

Authors:  Peng Cao; Peter J Shin; Ilwoo Park; Chloe Najac; Irene Marco-Rius; Daniel B Vigneron; Sarah J Nelson; Sabrina M Ronen; Peder E Z Larson
Journal:  Magn Reson Med       Date:  2016-05-26       Impact factor: 4.668

Review 7.  Sparse Reconstruction Techniques in Magnetic Resonance Imaging: Methods, Applications, and Challenges to Clinical Adoption.

Authors:  Alice C Yang; Madison Kretzler; Sonja Sudarski; Vikas Gulani; Nicole Seiberlich
Journal:  Invest Radiol       Date:  2016-06       Impact factor: 6.016

8.  High-resolution (1) H-MRSI of the brain using SPICE: Data acquisition and image reconstruction.

Authors:  Fan Lam; Chao Ma; Bryan Clifford; Curtis L Johnson; Zhi-Pei Liang
Journal:  Magn Reson Med       Date:  2015-10-28       Impact factor: 4.668

9.  Whole-brain high-resolution metabolite mapping with 3D compressed-sensing SENSE low-rank 1 H FID-MRSI.

Authors:  Antoine Klauser; Paul Klauser; Frédéric Grouiller; Sébastien Courvoisier; François Lazeyras
Journal:  NMR Biomed       Date:  2021-10-01       Impact factor: 4.478

Review 10.  Accelerated MR spectroscopic imaging-a review of current and emerging techniques.

Authors:  Wolfgang Bogner; Ricardo Otazo; Anke Henning
Journal:  NMR Biomed       Date:  2020-05-12       Impact factor: 4.044

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