Fundamentals of Cardiac T1 Mapping

In the first chapter, entitled Fundamentals of Cardiac T1 Mapping, we present an overview of the scientific principles, technical choices and challenges associated with cardiac T1 mapping. This chapter reminds the reader that T1 mapping relies on a physical model of the MR signal, and shows the ways in which this model breaks down when the underlying assumptions are not met.

[1]  L R Schad,et al.  Fast and precise T1 imaging using a TOMROP sequence. , 1990, Magnetic resonance imaging.

[2]  Stefan Neubauer,et al.  T1 measurements in the human myocardium: The effects of magnetization transfer on the SASHA and MOLLI sequences , 2013, Magnetic resonance in medicine.

[3]  James C Moon,et al.  Automatic Measurement of the Myocardial Interstitium: Synthetic Extracellular Volume Quantification Without Hematocrit Sampling. , 2016, JACC. Cardiovascular imaging.

[4]  Stephane Heymans,et al.  Myocardial Extracellular Matrix: An Ever-Changing and Diverse Entity , 2014, Circulation research.

[5]  David M Higgins,et al.  Modified Look‐Locker inversion recovery (MOLLI) for high‐resolution T1 mapping of the heart , 2004, Magnetic resonance in medicine.

[6]  P. Tofts Quantitative MRI of the Brain , 2003 .

[7]  Daniel Messroghli,et al.  State of the Art: Clinical Applications of Cardiac T1 Mapping. , 2016, Radiology.

[8]  David L Donoho,et al.  An invitation to reproducible computational research. , 2010, Biostatistics.

[9]  O. Simonetti,et al.  Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. , 1999, Circulation.

[10]  Stefan Neubauer,et al.  Shortened Modified Look-Locker Inversion recovery (ShMOLLI) for clinical myocardial T1-mapping at 1.5 and 3 T within a 9 heartbeat breathhold , 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[11]  M. Levitt Spin Dynamics: Basics of Nuclear Magnetic Resonance , 2001 .

[12]  Peter Kellman,et al.  Extracellular volume fraction mapping in the myocardium, part 1: evaluation of an automated method , 2012, Journal of Cardiovascular Magnetic Resonance.

[13]  David C. Look,et al.  Nuclear Spin-Lattice Relaxation Measurements by Tone-Burst Modulation , 1968 .

[14]  Dwight G Nishimura,et al.  A robust methodology for in vivo T1 mapping , 2010, Magnetic resonance in medicine.

[15]  Andrew S Flett,et al.  Comparison of T1 mapping techniques for ECV quantification. Histological validation and reproducibility of ShMOLLI versus multibreath-hold T1 quantification equilibrium contrast CMR , 2012, Journal of Cardiovascular Magnetic Resonance.

[16]  M. Avendi,et al.  Fully automatic segmentation of heart chambers in cardiac MRI using deep learning , 2016, Journal of Cardiovascular Magnetic Resonance.

[17]  M. Robson,et al.  T1 mapping for myocardial extracellular volume measurement by CMR: bolus only versus primed infusion technique. , 2013, JACC. Cardiovascular imaging.

[18]  P. Kellman,et al.  T1-mapping in the heart: accuracy and precision , 2014, Journal of Cardiovascular Magnetic Resonance.

[19]  R Deichmann,et al.  Quantification of T1 values by SNAPSHOT-FLASH NMR imaging , 1992 .

[20]  Andrew S Flett,et al.  Human non-contrast T1 values and correlation with histology in diffuse fibrosis , 2013, Heart.

[21]  Reza Nezafat,et al.  A T1 and ECV phantom for global T1 mapping quality assurance: The T1 mapping and ECV standardisation in CMR (T1MES) program , 2016, Journal of Cardiovascular Magnetic Resonance.

[22]  G. Langer,et al.  THE MYOCARDIAL INTERSTITIUM: ITS STRUCTURE AND ITS ROLE IN IONIC EXCHANGE , 1974, The Journal of cell biology.

[23]  P. Kellman,et al.  T1 and extracellular volume mapping in the heart: estimation of error maps and the influence of noise on precision , 2013, Journal of Cardiovascular Magnetic Resonance.

[24]  Peter Kellman,et al.  Extracellular volume fraction mapping in the myocardium, part 2: initial clinical experience , 2012, Journal of Cardiovascular Magnetic Resonance.

[25]  Mehmet Akçakaya,et al.  Free‐breathing post‐contrast three‐dimensional T1 mapping: Volumetric assessment of myocardial T1 values , 2014, Magnetic resonance in medicine.

[26]  M. Robson,et al.  Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement , 2013, Journal of Cardiovascular Magnetic Resonance.

[27]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[28]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. , 2002, Circulation.

[29]  Richard B Thompson,et al.  Saturation recovery single‐shot acquisition (SASHA) for myocardial T1 mapping , 2014, Magnetic resonance in medicine.

[30]  A. Greiser,et al.  Comparison of different cardiovascular magnetic resonance sequences for native myocardial T1 mapping at 3T , 2016, Journal of Cardiovascular Magnetic Resonance.

[31]  S. Fleagle,et al.  Nuclear magnetic resonance relaxometry of the normal heart: relationship between collagen content and relaxation times of the four chambers. , 1989, Magnetic Resonance Imaging.

[32]  Graham Wright,et al.  Musculoskeletal MRI at 3.0 T: relaxation times and image contrast. , 2004, AJR. American journal of roentgenology.

[33]  Warren J Manning,et al.  Clinical indications for cardiovascular magnetic resonance (CMR): Consensus Panel report. , 2004, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[34]  M. Mayr,et al.  Native T1 in discrimination of acute and convalescent stages in patients with clinical diagnosis of myocarditis: a proposed diagnostic algorithm using CMR. , 2015, JACC. Cardiovascular imaging.

[35]  Paul S. Tofts,et al.  Quantitative MRI of the brain : measuring changes caused by disease , 2003 .

[36]  A. John Mallinckrodt,et al.  Data Reduction and Error Analysis for the Physical Sciences , 1993 .

[37]  D. Berman,et al.  Native T1 Mapping by 3-T CMR Imaging for Characterization of Chronic Myocardial Infarctions. , 2015, JACC. Cardiovascular imaging.

[38]  Christine L. Tardif,et al.  On the accuracy of T1 mapping: Searching for common ground , 2015, Magnetic resonance in medicine.

[39]  Henggui Zhang,et al.  A deep learning network for right ventricle segmentation in short-axis MRI , 2016, 2016 Computing in Cardiology Conference (CinC).

[40]  P. Kellman,et al.  Myocardial Fibrosis Quantified by Extracellular Volume Is Associated With Subsequent Hospitalization for Heart Failure, Death, or Both Across the Spectrum of Ejection Fraction and Heart Failure Stage , 2015, Journal of the American Heart Association.

[41]  C. Higgins,et al.  Measurement of the distribution volume of gadopentetate dimeglumine at echo-planar MR imaging to quantify myocardial infarction: comparison with 99mTc-DTPA autoradiography in rats. , 1999, Radiology.

[42]  M. Hayward,et al.  Equilibrium Contrast Cardiovascular Magnetic Resonance for the Measurement of Diffuse Myocardial Fibrosis: Preliminary Validation in Humans , 2010, Circulation.

[43]  R. Ehman,et al.  Effect of gadolinium-DTPA on the magnetic relaxation times of normal and infarcted myocardium. , 1984, Radiology.