Literature DB >> 27033471

Accelerated MRI for the assessment of cardiac function.

Leon Axel1, Ricardo Otazo1.   

Abstract

Heart disease is a worldwide public health problem; assessment of cardiac function is an important part of the diagnosis and management of heart disease. MRI of the heart can provide clinically useful information on cardiac function, although it is still not routinely used in clinical practice, in part because of limited imaging speed. New accelerated methods for performing cardiovascular MRI (CMR) have the potential to provide both increased imaging speed and robustness to CMR, as well as access to increased functional information. In this review, we will briefly discuss the main methods currently employed to accelerate CMR methods, such as parallel imaging, k-t undersampling and compressed sensing, as well as new approaches that extend the idea of compressed sensing and exploit sparsity to provide richer information of potential use in clinical practice.

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Year:  2016        PMID: 27033471      PMCID: PMC5257298          DOI: 10.1259/bjr.20150655

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  32 in total

1.  Generalized autocalibrating partially parallel acquisitions (GRAPPA).

Authors:  Mark A Griswold; Peter M Jakob; Robin M Heidemann; Mathias Nittka; Vladimir Jellus; Jianmin Wang; Berthold Kiefer; Axel Haase
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

2.  k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations.

Authors:  Jeffrey Tsao; Peter Boesiger; Klaas P Pruessmann
Journal:  Magn Reson Med       Date:  2003-11       Impact factor: 4.668

3.  k-t GRAPPA: a k-space implementation for dynamic MRI with high reduction factor.

Authors:  Feng Huang; James Akao; Sathya Vijayakumar; George R Duensing; Mark Limkeman
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

4.  k-t PCA: temporally constrained k-t BLAST reconstruction using principal component analysis.

Authors:  Henrik Pedersen; Sebastian Kozerke; Steffen Ringgaard; Kay Nehrke; Won Yong Kim
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

5.  Accelerating SENSE using compressed sensing.

Authors:  Dong Liang; Bo Liu; Jiunjie Wang; Leslie Ying
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

6.  Cineangiography of the heart in a single breath hold with a segmented turboFLASH sequence.

Authors:  D J Atkinson; R R Edelman
Journal:  Radiology       Date:  1991-02       Impact factor: 11.105

7.  Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays.

Authors:  D K Sodickson; W J Manning
Journal:  Magn Reson Med       Date:  1997-10       Impact factor: 4.668

8.  Accelerated cardiac T2 mapping using breath-hold multiecho fast spin-echo pulse sequence with k-t FOCUSS.

Authors:  Li Feng; Ricardo Otazo; Hong Jung; Jens H Jensen; Jong C Ye; Daniel K Sodickson; Daniel Kim
Journal:  Magn Reson Med       Date:  2011-02-28       Impact factor: 4.668

9.  Accelerated phase-contrast cine MRI using k-t SPARSE-SENSE.

Authors:  Daniel Kim; Hadrien A Dyvorne; Ricardo Otazo; Li Feng; Daniel K Sodickson; Vivian S Lee
Journal:  Magn Reson Med       Date:  2011-11-14       Impact factor: 4.668

10.  Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI.

Authors:  Li Feng; Robert Grimm; Kai Tobias Block; Hersh Chandarana; Sungheon Kim; Jian Xu; Leon Axel; Daniel K Sodickson; Ricardo Otazo
Journal:  Magn Reson Med       Date:  2013-10-18       Impact factor: 4.668

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  7 in total

Review 1.  Will MRI of gastrointestinal function parallel the clinical success of cine cardiac MRI?

Authors:  Caroline Hoad; Christopher Clarke; Luca Marciani; Martin John Graves; Maura Corsetti
Journal:  Br J Radiol       Date:  2018-10-24       Impact factor: 3.039

2.  5D whole-heart sparse MRI.

Authors:  Li Feng; Simone Coppo; Davide Piccini; Jerome Yerly; Ruth P Lim; Pier Giorgio Masci; Matthias Stuber; Daniel K Sodickson; Ricardo Otazo
Journal:  Magn Reson Med       Date:  2017-05-11       Impact factor: 4.668

Review 3.  The growth and evolution of cardiovascular magnetic resonance: a 20-year history of the Society for Cardiovascular Magnetic Resonance (SCMR) annual scientific sessions.

Authors:  Daniel C Lee; Michael Markl; Erica Dall'Armellina; Yuchi Han; Sebastian Kozerke; Titus Kuehne; Sonia Nielles-Vallespin; Daniel Messroghli; Amit Patel; Tobias Schaeffter; Orlando Simonetti; Anne Marie Valente; Jonathan W Weinsaft; Graham Wright; Stefan Zimmerman; Jeanette Schulz-Menger
Journal:  J Cardiovasc Magn Reson       Date:  2018-01-31       Impact factor: 5.364

Review 4.  Machine learning in cardiovascular magnetic resonance: basic concepts and applications.

Authors:  Tim Leiner; Daniel Rueckert; Avan Suinesiaputra; Bettina Baeßler; Reza Nezafat; Ivana Išgum; Alistair A Young
Journal:  J Cardiovasc Magn Reson       Date:  2019-10-07       Impact factor: 5.364

5.  Compressed sensing acceleration of cardiac cine imaging allows reliable and reproducible assessment of volumetric and functional parameters of the left and right atrium.

Authors:  Sebastian Altmann; Moritz C Halfmann; Ibukun Abidoye; Basel Yacoub; Michaela Schmidt; Philip Wenzel; Christoph Forman; U Joseph Schoepf; Fei Xiong; Christoph Dueber; Karl-Friedrich Kreitner; Akos Varga-Szemes; Tilman Emrich
Journal:  Eur Radiol       Date:  2021-03-29       Impact factor: 5.315

6.  Integration of multiple imaging platforms to uncover cardiovascular defects in adult zebrafish.

Authors:  Anabela Bensimon-Brito; Giulia L M Boezio; João Cardeira-da-Silva; Astrid Wietelmann; Srinath Ramkumar; Pia R Lundegaard; Christian S M Helker; Radhan Ramadass; Janett Piesker; Arno Nauerth; Clemens Mueller; Didier Y R Stainier
Journal:  Cardiovasc Res       Date:  2022-09-20       Impact factor: 13.081

7.  Lesion quantification and detection in myocardial (18)F-FDG PET using edge-preserving priors and anatomical information from CT and MRI: a simulation study.

Authors:  Anna Turco; Johan Nuyts; Olivier Gheysens; Jürgen Duchenne; Jens-Uwe Voigt; Piet Claus; Kathleen Vunckx
Journal:  EJNMMI Phys       Date:  2016-06-17
  7 in total

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