Literature DB >> 30522686

Cardiac Magnetic Resonance Fingerprinting: Technical Overview and Initial Results.

Yuchi Liu1, Jesse Hamilton1, Sanjay Rajagopalan2, Nicole Seiberlich3.   

Abstract

Cardiovascular magnetic resonance is a versatile tool that enables noninvasive characterization of cardiac tissue structure and function. Parametric mapping techniques have allowed unparalleled differentiation of pathophysiological differences in the myocardium such as the delineation of myocardial fibrosis, hemorrhage, and edema. These methods are increasingly used as part of a tool kit to characterize disease states such as cardiomyopathies and coronary artery disease more accurately. Currently conventional mapping techniques require separate acquisitions for T1 and T2 mapping, the values of which may depend on specifics of the magnetic resonance imaging system hardware, pulse sequence implementation, and physiological variables including blood pressure and heart rate. The cardiac magnetic resonance fingerprinting (cMRF) technique has recently been introduced for simultaneous and reproducible measurement of T1 and T2 maps in a single scan. The potential for this technique to provide consistent tissue property values independent of variables including scanner, pulse sequence, and physiology could allow an unbiased framework for the assessment of intrinsic properties of cardiac tissue including structure, perfusion, and parameters such as extracellular volume without the administration of exogenous contrast agents. This review seeks to introduce the basics of the cMRF technique, including pulse sequence design, dictionary generation, and pattern matching. The potential applications of cMRF in assessing diseases such as nonischemic cardiomyopathy are also briefly discussed, and ongoing areas of research are described.
Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  T(1) mapping; T(2) mapping; cardiac magnetic resonance; magnetic resonance fingerprinting; parametric mapping

Mesh:

Year:  2018        PMID: 30522686      PMCID: PMC6394856          DOI: 10.1016/j.jcmg.2018.08.028

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  46 in total

1.  Improved detection of cardiac sarcoidosis using magnetic resonance with myocardial T2 mapping.

Authors:  Elliott D Crouser; Chikako Ono; Tam Tran; Xin He; Subha V Raman
Journal:  Am J Respir Crit Care Med       Date:  2014-01-01       Impact factor: 21.405

2.  Saturation recovery single-shot acquisition (SASHA) for myocardial T(1) mapping.

Authors:  Kelvin Chow; Jacqueline A Flewitt; Jordin D Green; Joseph J Pagano; Matthias G Friedrich; Richard B Thompson
Journal:  Magn Reson Med       Date:  2013-07-23       Impact factor: 4.668

Review 3.  Mapping the future of cardiac MR imaging: case-based review of T1 and T2 mapping techniques.

Authors:  Scott A Hamlin; Travis S Henry; Brent P Little; Stamatios Lerakis; Arthur E Stillman
Journal:  Radiographics       Date:  2014-10       Impact factor: 5.333

4.  Performance of t1 and t2 mapping cardiovascular magnetic resonance to detect active myocarditis in patients with recent-onset heart failure.

Authors:  Sebastian Bohnen; Ulf K Radunski; Gunnar K Lund; Reinhard Kandolf; Christian Stehning; Bernhard Schnackenburg; Gerhard Adam; Stefan Blankenberg; Kai Muellerleile
Journal:  Circ Cardiovasc Imaging       Date:  2015-06       Impact factor: 7.792

5.  MR Fingerprinting for Rapid Quantitative Abdominal Imaging.

Authors:  Yong Chen; Yun Jiang; Shivani Pahwa; Dan Ma; Lan Lu; Michael D Twieg; Katherine L Wright; Nicole Seiberlich; Mark A Griswold; Vikas Gulani
Journal:  Radiology       Date:  2016-01-21       Impact factor: 11.105

6.  Joint myocardial T1 and T2 mapping using a combination of saturation recovery and T2 -preparation.

Authors:  Mehmet Akçakaya; Sebastian Weingärtner; Tamer A Basha; Sébastien Roujol; Steven Bellm; Reza Nezafat
Journal:  Magn Reson Med       Date:  2015-09-29       Impact factor: 4.668

Review 7.  Advances in parametric mapping with CMR imaging.

Authors:  Michael Salerno; Christopher M Kramer
Journal:  JACC Cardiovasc Imaging       Date:  2013-07

8.  T1 measurements in the human myocardium: the effects of magnetization transfer on the SASHA and MOLLI sequences.

Authors:  Matthew D Robson; Stefan K Piechnik; Elizabeth M Tunnicliffe; Stefan Neubauer
Journal:  Magn Reson Med       Date:  2013-07-15       Impact factor: 4.668

9.  Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS.

Authors:  Sofia Kvernby; Marcel Jan Bertus Warntjes; Henrik Haraldsson; Carl-Johan Carlhäll; Jan Engvall; Tino Ebbers
Journal:  J Cardiovasc Magn Reson       Date:  2014-12-20       Impact factor: 5.364

10.  Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI).

Authors:  Daniel R Messroghli; James C Moon; Vanessa M Ferreira; Lars Grosse-Wortmann; Taigang He; Peter Kellman; Julia Mascherbauer; Reza Nezafat; Michael Salerno; Erik B Schelbert; Andrew J Taylor; Richard Thompson; Martin Ugander; Ruud B van Heeswijk; Matthias G Friedrich
Journal:  J Cardiovasc Magn Reson       Date:  2017-10-09       Impact factor: 5.364

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  14 in total

Review 1.  Magnetic resonance fingerprinting: an overview.

Authors:  Charit Tippareddy; Walter Zhao; Jeffrey L Sunshine; Mark Griswold; Dan Ma; Chaitra Badve
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-26       Impact factor: 9.236

Review 2.  Advances in MRI Applications to Diagnose and Manage Cardiomyopathies.

Authors:  Ramya Vajapey; Brendan Eck; Wilson Tang; Deborah H Kwon
Journal:  Curr Treat Options Cardiovasc Med       Date:  2019-11-27

Review 3.  Cardiac MR: From Theory to Practice.

Authors:  Tevfik F Ismail; Wendy Strugnell; Chiara Coletti; Maša Božić-Iven; Sebastian Weingärtner; Kerstin Hammernik; Teresa Correia; Thomas Küstner
Journal:  Front Cardiovasc Med       Date:  2022-03-03

4.  An efficient approach to optimal experimental design for magnetic resonance fingerprinting with B-splines.

Authors:  Evan Scope Crafts; Hengfa Lu; Huihui Ye; Lawrence L Wald; Bo Zhao
Journal:  Magn Reson Med       Date:  2022-03-07       Impact factor: 3.737

Review 5.  Myocardial T1 and ECV Measurement: Underlying Concepts and Technical Considerations.

Authors:  Austin A Robinson; Kelvin Chow; Michael Salerno
Journal:  JACC Cardiovasc Imaging       Date:  2019-09-18

Review 6.  Cardiac magnetic resonance fingerprinting: Trends in technical development and potential clinical applications.

Authors:  Brendan L Eck; Scott D Flamm; Deborah H Kwon; W H Wilson Tang; Claudia Prieto Vasquez; Nicole Seiberlich
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2020-11-06       Impact factor: 9.795

7.  Fast and accurate calculation of myocardial T1 and T2 values using deep learning Bloch equation simulations (DeepBLESS).

Authors:  Jiaxin Shao; Vahid Ghodrati; Kim-Lien Nguyen; Peng Hu
Journal:  Magn Reson Med       Date:  2020-05-16       Impact factor: 3.737

8.  A Deep Learning Segmentation Approach in Free-Breathing Real-Time Cardiac Magnetic Resonance Imaging.

Authors:  Fan Yang; Yan Zhang; Pinggui Lei; Lihui Wang; Yuehong Miao; Hong Xie; Zhu Zeng
Journal:  Biomed Res Int       Date:  2019-07-30       Impact factor: 3.411

9.  Water-fat Dixon cardiac magnetic resonance fingerprinting.

Authors:  Olivier Jaubert; Gastão Cruz; Aurélien Bustin; Torben Schneider; Begoña Lavin; Peter Koken; Reza Hajhosseiny; Mariya Doneva; Daniel Rueckert; René M Botnar; Claudia Prieto
Journal:  Magn Reson Med       Date:  2019-11-18       Impact factor: 3.737

10.  A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound.

Authors:  Nobuyuki Kagiyama; Sirish Shrestha; Jung Sun Cho; Muhammad Khalil; Yashbir Singh; Abhiram Challa; Grace Casaclang-Verzosa; Partho P Sengupta
Journal:  EBioMedicine       Date:  2020-04-06       Impact factor: 8.143

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