Cardiac MR: From Theory to Practice

Ismail, Tevfik F; Strugnell, W.; Coletti, Chiara; Božić‐Iven, Maša; Weingärtner, Sebastian; Hammernik, Kerstin; Correia, Teresa; Küstner, Thomas

doi:10.3389/fcvm.2022.826283

Cited by 23 publications

(19 citation statements)

References 364 publications

(521 reference statements)

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“…Over the last few decades, cardiac magnetic resonance (CMR) has emerged as an essential clinical tool to assess cardiovascular disease. CMR is non-invasive, free of ionizing radiation, and highly versatile, which enables a comprehensive assessment of the cardiovascular structure, function, flow, perfusion, viability, and tissue characterization [ 1 , 2 ]. For example, CMR is the gold standard for measuring the left ventricle (LV) ejection fraction, a cornerstone parameter for the diagnosis of heart failure and the timing of surgical interventions [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Reconstruction for Cardiac MRI: A Review

et al. 2023

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Cardiac magnetic resonance (CMR) is an essential clinical tool for the assessment of cardiovascular disease. Deep learning (DL) has recently revolutionized the field through image reconstruction techniques that allow unprecedented data undersampling rates. These fast acquisitions have the potential to considerably impact the diagnosis and treatment of cardiovascular disease. Herein, we provide a comprehensive review of DL-based reconstruction methods for CMR. We place special emphasis on state-of-the-art unrolled networks, which are heavily based on a conventional image reconstruction framework. We review the main DL-based methods and connect them to the relevant conventional reconstruction theory. Next, we review several methods developed to tackle specific challenges that arise from the characteristics of CMR data. Then, we focus on DL-based methods developed for specific CMR applications, including flow imaging, late gadolinium enhancement, and quantitative tissue characterization. Finally, we discuss the pitfalls and future outlook of DL-based reconstructions in CMR, focusing on the robustness, interpretability, clinical deployment, and potential for new methods.

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Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Reconstruction for Cardiac MRI: A Review

et al. 2023

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“…Quantitative myocardial tissue characterization has emerged with a wide spectrum of applications in various cardiomyopathies. 8 Native T 1 mapping has been explored for the assessment of myocardial infarction (MI) without the need for contrast agents. [9][10][11] However, mixed results have been reported on its sensitivity to focal scar and the approach remains the subject of ongoing research.…”

Section: Introductionmentioning

confidence: 99%

Robust cardiac T1ρ$$ {\mathrm{T}}_{1_{\boldsymbol{\rho}}} $$ mapping at 3T using adiabatic spin‐lock preparations

Coletti

Fotaki

Tourais

et al. 2023

Magnetic Resonance in Med

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Purpose The aim of this study is to develop and optimize an adiabatic normalT1normalρ$$ {\mathrm{T}}_{1\uprho} $$ (normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$) mapping method for robust quantification of spin‐lock (SL) relaxation in the myocardium at 3T. Methods Adiabatic SL (aSL) preparations were optimized for resilience against normalB0$$ {\mathrm{B}}_0 $$ and normalB1+$$ {\mathrm{B}}_1^{+} $$ inhomogeneities using Bloch simulations. Optimized normalB0$$ {\mathrm{B}}_0 $$‐aSL, Bal‐aSL and normalB1$$ {\mathrm{B}}_1 $$‐aSL modules, each compensating for different inhomogeneities, were first validated in phantom and human calf. Myocardial normalT1normalρ$$ {\mathrm{T}}_{1\uprho} $$ mapping was performed using a single breath‐hold cardiac‐triggered bSSFP‐based sequence. Then, optimized normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$ preparations were compared to each other and to conventional SL‐prepared normalT1normalρ$$ {\mathrm{T}}_{1\uprho} $$ maps (RefSL) in phantoms to assess repeatability, and in 13 healthy subjects to investigate image quality, precision, reproducibility and intersubject variability. Finally, aSL and RefSL sequences were tested on six patients with known or suspected cardiovascular disease and compared with LGE, normalT1$$ {\mathrm{T}}_1 $$, and ECV mapping. Results The highest normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$ preparation efficiency was obtained in simulations for modules comprising 2 HS pulses of 30 ms each. In vivo normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$ maps yielded significantly higher quality than RefSL maps. Average myocardial normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$ values were 183.28 prefix±$$ \pm $$ 25.53 ms, compared with 38.21 prefix±$$ \pm $$ 14.37 ms RefSL‐prepared normalT1normalρ$$ {\mathrm{T}}_{1\uprho} $$. normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$ maps showed a significant improvement in precision (avg. 14.47 prefix±$$ \pm $$ 3.71% aSL, 37.61 prefix±$$ \pm $$ 19.42% RefSL, p < 0.01) and reproducibility (avg. 4.64 prefix±$$ \pm $$ 2.18% aSL, 47.39 prefix±$$ \pm $$ 12.06% RefSL, p < 0.0001), with decreased inter‐subject variability (avg. 8.76 prefix±$$ \pm $$ 3.65% aSL, 51.90 prefix±$$ \pm $$ 15.27% RefSL, p < 0.0001). Among aSL preparations, normalB0$$ {\mathrm{B}}_0 $$‐aSL achieved the better inter‐subject variability. In patients, normalB1$$ {\mathrm{B}}_1 $$‐aSL preparations showed the best artifact resilience among the adiabatic preparations. normalT1normalρ,adiab$$ {\mathrm{T}}_{1\uprho, \mathrm{adiab}} $$ times show focal alteration colocalized with areas of hyper‐enhancement in the LGE images. Conclusion Adiabatic preparations enable robust in vivo quantification of myocardial SL relaxation times at 3T.

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“…However, contrary to most of the volume and function evaluation of LA performed by the echocardiography, few used cardiac magnetic resonance [11,12], including the volumetric parameters and strains of LA. Meanwhile, CMR has become clinically valuable techniques to assess cardiovascular anatomy, function, circulation and practicality [13]. Therefore, it is of great mean to estimate the function including the stain of LA in identifying the reperfused chronic myocardial infarction using CMR-FT [14].…”

Section: Introductionmentioning

confidence: 99%

Differentiation Value of Left Atrial Dysfunction in Reperfused Chronic Myocardial Infarction

Zhang

Liu

2022

Preprint

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Evaluation of left atrial dysfunction is of great value to assess reperfused chronic myocardial infarction. LA volumetric and strain parameters can be of great help to estimate left atrial function. However, limited data are accessed on its prognostic value in reperfused chronic myocardial infarction.Purpose: In order to evaluate the relationship between LA volumetric and strain parameters in patients with chronic myocardial infarction. Materials and methods: In this retrospective study, recruited people(included from April in 2017 to the June in 2021) experience cardiovascular MRI. The relationship between LA volumetric and strain parameters and chronic myocardial infarction was evaluated by linear regression. Results: 83 patients with chronic myocardial infarction(mean age±standard deviation, 58.16 years±9.58; 69men) were included. LATEF was weakly correlated with LAVmin(Pearson correlation coefficient r=-0.674, P＜0.001), Booster longitudinal strain(r=0.577, P＜0.001), GLSRa(r=-0.567, P＜0.001), Total longitudinal strain(r=0.574, P＜0.001). Better passive radial strain is correlated to a lower rate of chronic myocardial infarction(hazard ratio, 0.789[0.699,0.892]; P＜0.001) after adjusting for multiple clinical and CMR-based variables. Conclusion: Left atrial volumetric parameters, strain and strain rate can be of great value in reperfused chronic myocardial infarction.

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Cardiac MR: From Theory to Practice

Cited by 23 publications

References 364 publications

Deep Learning-Based Reconstruction for Cardiac MRI: A Review

Deep Learning-Based Reconstruction for Cardiac MRI: A Review

Robust cardiac T1ρ$$ {\mathrm{T}}_{1_{\boldsymbol{\rho}}} $$ mapping at 3T using adiabatic spin‐lock preparations

Differentiation Value of Left Atrial Dysfunction in Reperfused Chronic Myocardial Infarction

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