Accelerated real-time cardiac MRI using iterative sparse SENSE reconstruction: comparing performance in patients with sinus rhythm and atrial fibrillation

Allen, Bradley D.; Carr, Maria; Markl, Michael; Zenge, Michael O.; Schmidt, Michaela; Nadar, Mariappan S.; Spottiswoode, Bruce; Collins, Jeremy D.; Carr, James C.

doi:10.1007/s00330-017-5283-0

Cited by 18 publications

(15 citation statements)

References 25 publications

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“…These findings confirm our previous 1.5 T study [12] now in a larger cohort of arrhythmic patients and reassure that the quality of CINE images is often insufficient for arrhythmic heart beats (mainly due to blurring and motion artifacts), whereas image quality is substantially improved by RT CMR. Similar improvements in image quality for arrhythmic patients were reported for accelerated MRI techniques based on parallel imaging with compressed sensing for both 1.5 T [25] , [26] and 3 T [27] . However, these techniques do not fully qualify as real-time imaging as the requirement for temporal sparsity only allows for image reconstructions after completion of the entire dynamic data acquisition.…”

Section: Discussionsupporting

confidence: 70%

Imaging of arrhythmia: Real-time cardiac magnetic resonance imaging in atrial fibrillation

Laubrock

Loesch

Steinmetz

et al. 2022

European Journal of Radiology Open

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Section: Discussionsupporting

confidence: 70%

Imaging of arrhythmia: Real-time cardiac magnetic resonance imaging in atrial fibrillation

Laubrock

Loesch

Steinmetz

et al. 2022

European Journal of Radiology Open

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“…Retrospective gating assumes a periodicity of the temporal motion evolution which is however not a given for patients with arrhythmias or irregular breathing patterns (221,222). In these cases, real-time CMR which is based on fast imaging sequences, like spGRE or bSSFP, can provide a viable solution (154,157,185,(222)(223)(224)(225)(226)(227)(228).…”

Section: Cardiac and Respiratory Motion: No Stopping Nowmentioning

confidence: 99%

Cardiac MR: From Theory to Practice

Ismail

Strugnell

Coletti

et al. 2022

Front. Cardiovasc. Med.

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Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality, causing over 17. 9 million deaths worldwide per year with associated costs of over $800 billion. Improving prevention, diagnosis, and treatment of CVD is therefore a global priority. Cardiovascular magnetic resonance (CMR) has emerged as a clinically important technique for the assessment of cardiovascular anatomy, function, perfusion, and viability. However, diversity and complexity of imaging, reconstruction and analysis methods pose some limitations to the widespread use of CMR. Especially in view of recent developments in the field of machine learning that provide novel solutions to address existing problems, it is necessary to bridge the gap between the clinical and scientific communities. This review covers five essential aspects of CMR to provide a comprehensive overview ranging from CVDs to CMR pulse sequence design, acquisition protocols, motion handling, image reconstruction and quantitative analysis of the obtained data. (1) The basic MR physics of CMR is introduced. Basic pulse sequence building blocks that are commonly used in CMR imaging are presented. Sequences containing these building blocks are formed for parametric mapping and functional imaging techniques. Commonly perceived artifacts and potential countermeasures are discussed for these methods. (2) CMR methods for identifying CVDs are illustrated. Basic anatomy and functional processes are described to understand the cardiac pathologies and how they can be captured by CMR imaging. (3) The planning and conduct of a complete CMR exam which is targeted for the respective pathology is shown. Building blocks are illustrated to create an efficient and patient-centered workflow. Further strategies to cope with challenging patients are discussed. (4) Imaging acceleration and reconstruction techniques are presented that enable acquisition of spatial, temporal, and parametric dynamics of the cardiac cycle. The handling of respiratory and cardiac motion strategies as well as their integration into the reconstruction processes is showcased. (5) Recent advances on deep learning-based reconstructions for this purpose are summarized. Furthermore, an overview of novel deep learning image segmentation and analysis methods is provided with a focus on automatic, fast and reliable extraction of biomarkers and parameters of clinical relevance.

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“…RT-MRI enables imaging of the cardiovascular system without the need for cardiac gating or respiratory compensation. This is particularly valuable in patients with cardiac arrhythmia (85,86) where cardiac gating fails (~10% of patients referred for diagnostic cardiac imaging), and in patients who find breath-holding difficult (~10% of patients). It is also extremely valuable in children with congenital heart disease (CHD), where it can be used to lessen the need for sedation (87) and its associated risks.…”

Section: Cardiacmentioning

confidence: 99%

Real‐Time Magnetic Resonance Imaging

Nayak

Lim

Campbell-Washburn

et al. 2020

Magnetic Resonance Imaging

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Real‐time magnetic resonance imaging (RT‐MRI) allows for imaging dynamic processes as they occur, without relying on any repetition or synchronization. This is made possible by modern MRI technology such as fast‐switching gradients and parallel imaging. It is compatible with many (but not all) MRI sequences, including spoiled gradient echo, balanced steady‐state free precession, and single‐shot rapid acquisition with relaxation enhancement. RT‐MRI has earned an important role in both diagnostic imaging and image guidance of invasive procedures. Its unique diagnostic value is prominent in areas of the body that undergo substantial and often irregular motion, such as the heart, gastrointestinal system, upper airway vocal tract, and joints. Its value in interventional procedure guidance is prominent for procedures that require multiple forms of soft‐tissue contrast, as well as flow information. In this review, we discuss the history of RT‐MRI, fundamental tradeoffs, enabling technology, established applications, and current trends. Level of Evidence 5 Technical Efficacy Stage 1

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Accelerated real-time cardiac MRI using iterative sparse SENSE reconstruction: comparing performance in patients with sinus rhythm and atrial fibrillation

Cited by 18 publications

References 25 publications

Imaging of arrhythmia: Real-time cardiac magnetic resonance imaging in atrial fibrillation

Imaging of arrhythmia: Real-time cardiac magnetic resonance imaging in atrial fibrillation

Cardiac MR: From Theory to Practice

Real‐Time Magnetic Resonance Imaging

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