Literature DB >> 30953396

Volumetric abdominal perfusion measurement using a pseudo-randomly sampled 3D fast-spin-echo (FSE) arterial spin labeling (ASL) sequence and compressed sensing reconstruction.

Manuel Taso1, Li Zhao1, Arnaud Guidon2, Daniel V Litwiller3, David C Alsop1.   

Abstract

PURPOSE: To improve image quality and spatial coverage for abdominal perfusion imaging by implementing an arterial spin labeling (ASL) sequence that combines variable-density 3D fast-spin-echo (FSE) with Cartesian trajectory and compressed-sensing (CS) reconstruction.
METHODS: A volumetric FSE sequence was modified to include background-suppressed pseudo-continuous ASL labeling and to support variable-density (VD) Poisson-disk sampling for acceleration. We additionally explored the benefits of center oversampling and variable outer k-space sampling. Fourteen healthy volunteers were scanned on a 3T scanner to test acceleration factors as well as the various sampling schemes described under synchronized-breathing to limit motion issues. A CS reconstruction was implemented using the BART toolbox to reconstruct perfusion-weighted ASL volumes, assessing the impact of acceleration, different reconstruction, and sampling strategies on image quality.
RESULTS: CS acceleration is feasible with ASL, and a strong renal perfusion signal could be observed even at very high acceleration rates (≈15). We have shown that ASL k-space complex subtraction was desirable before CS reconstruction. Although averaging of multiple highly accelerated images helped to reduce artifacts from physiologic fluctuations, superior image quality was achieved by interleaving of different highly undersampled pseudo-random spatial sampling patterns and using 4D-CS reconstruction. Combination of these enhancements produces high-quality ASL volumes in under 5 min.
CONCLUSIONS: High-quality isotropic ASL abdominal perfusion volumes can be obtained in healthy volunteers with a VD-FSE and CS reconstruction. This lays the groundwork for future developments toward whole abdomen free-breathing non-contrast perfusion imaging.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  acceleration; arterial spin labeling; compressed sensing; kidneys; pCASL; perfusion

Mesh:

Substances:

Year:  2019        PMID: 30953396     DOI: 10.1002/mrm.27761

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


  4 in total

1.  Regional and depth-dependence of cortical blood-flow assessed with high-resolution Arterial Spin Labeling (ASL).

Authors:  Manuel Taso; Fanny Munsch; Li Zhao; David C Alsop
Journal:  J Cereb Blood Flow Metab       Date:  2021-01-14       Impact factor: 6.200

Review 2.  Recent Technical Developments in ASL: A Review of the State of the Art.

Authors:  Luis Hernandez-Garcia; Verónica Aramendía-Vidaurreta; Divya S Bolar; Weiying Dai; Maria A Fernández-Seara; Jia Guo; Ananth J Madhuranthakam; Henk Mutsaerts; Jan Petr; Qin Qin; Jonas Schollenberger; Yuriko Suzuki; Manuel Taso; David L Thomas; Matthias J P van Osch; Joseph Woods; Moss Y Zhao; Lirong Yan; Ze Wang; Li Zhao; Thomas W Okell
Journal:  Magn Reson Med       Date:  2022-08-19       Impact factor: 3.737

3.  Subject-specific optimization of background suppression for arterial spin labeling magnetic resonance imaging using a feedback loop on the scanner.

Authors:  Kirsten Koolstra; Marius Staring; Paul de Bruin; Matthias J P van Osch
Journal:  NMR Biomed       Date:  2022-05-09       Impact factor: 4.478

4.  Consensus-based technical recommendations for clinical translation of renal ASL MRI.

Authors:  Fabio Nery; Charlotte E Buchanan; Anita A Harteveld; Aghogho Odudu; Octavia Bane; Eleanor F Cox; Katja Derlin; H Michael Gach; Xavier Golay; Marcel Gutberlet; Christoffer Laustsen; Alexandra Ljimani; Ananth J Madhuranthakam; Ivan Pedrosa; Pottumarthi V Prasad; Philip M Robson; Kanishka Sharma; Steven Sourbron; Manuel Taso; David L Thomas; Danny J J Wang; Jeff L Zhang; David C Alsop; Sean B Fain; Susan T Francis; María A Fernández-Seara
Journal:  MAGMA       Date:  2019-12-12       Impact factor: 2.533

  4 in total

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