Literature DB >> 18972348

k-t-Space accelerated myocardial perfusion.

Bernd Jung1, Matthias Honal, Jürgen Hennig, Michael Markl.   

Abstract

PURPOSE: To investigate the performance of the recently introduced spatiotemporal parallel imaging technique called parallel MRI with extended and averaged generalized autocalibrating partially parallel acquisitions (GRAPPA) kernels (PEAK-GRAPPA) for myocardial perfusion measurements.
MATERIALS AND METHODS: A study with 11 patients with myocardial infarction was performed to compare nonaccelerated perfusion imaging, i.e., fully acquired k-space data, with the results of conventional GRAPPA and PEAK-GRAPPA with a net acceleration factor of 2.4 to 3.4. Signal time courses reflecting the passage of the contrast agent bolus in different regions of the heart were evaluated for these different reconstruction methods.
RESULTS: Reconstruction with PEAK-GRAPPA demonstrated considerably improved image quality compared to conventional GRAPPA. In addition, signal time courses for PEAK-GRAPPA demonstrated an excellent agreement compared to full k-space data, which is necessary for an accurate qualitative and quantitative assessment of myocardial perfusion.
CONCLUSION: Qualitative and quantitative results of patient measurements illustrate that the temporal fidelity of nonperiodic processes such as myocardial perfusion are preserved with PEAK-GRAPPA up to net acceleration factors of more than 3 while showing a superior image quality compared to conventional GRAPPA and a sliding-window reconstruction. Copyright (c) 2008 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2008        PMID: 18972348     DOI: 10.1002/jmri.21543

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  4 in total

1.  Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI.

Authors:  Ricardo Otazo; Daniel Kim; Leon Axel; Daniel K Sodickson
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

2.  Myocardial perfusion MRI with an undersampled 3D stack-of-stars sequence.

Authors:  Liyong Chen; Ganesh Adluru; Matthias C Schabel; Chris J McGann; Edward V R Dibella
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

3.  Undersampled cine 3D tagging for rapid assessment of cardiac motion.

Authors:  Christian T Stoeck; Robert Manka; Peter Boesiger; Sebastian Kozerke
Journal:  J Cardiovasc Magn Reson       Date:  2012-08-30       Impact factor: 5.364

Review 4.  Pushing CT and MR imaging to the molecular level for studying the "omics": current challenges and advancements.

Authors:  Hsuan-Ming Huang; Yi-Yu Shih
Journal:  Biomed Res Int       Date:  2014-03-13       Impact factor: 3.411

  4 in total

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