Abstract: Electrocardiogram (ECG)-gated cardiac magnetic resonance imaging (MRI) alone may be unable to capture the hemodynamics associated with arrhythmic events. As a result, values such as ejection fraction are acquisition dependent. The desired RR-duration determines the arrhythmia rejection. By combining real-time volume measurements with ECG recordings, beat morphologies can be categorized and a more comprehensive evaluation of ventricular function during arrhythmia can be provided.

Abstract: A retrospective reconstruction method uses cardiac self-gating for patients with severe arrhythmias. Self-gated myocardial systolic and diastolic motion is determined from low-spatial and high-temporal resolution images and then the MRI-dataset is retrospectively reconstructed to obtain high quality images. The method uses undersampled image reconstruction to obtain the low-spatial and high-temporal resolution images, including those of different beat morphologies. Processing of these images is utilized to generate a cardiac phase signal. This signal allows for arrhythmia detection and cardiac phase sorting. The cardiac phase signal allows for detection of end-systolic and diastolic events which allows for improved sampling efficiency. In the case of frequent and severe arrhythmia, the method utilizes data from the normal and interrupted beats to improve sampling and image quality.

Abstract: A retrospective reconstruction method uses cardiac self-gating for patients with severe arrhythmias. Self-gated myocardial systolic and diastolic motion is determined from low-spatial and high-temporal resolution images and then the MRI-data-set is retrospectively reconstructed to obtain high quality images. The method uses undersampled image reconstruction to obtain the low-spatial and high-temporal resolution images, including those of different beat morphologies. Processing of these images is utilized to generate a cardiac phase signal. This signal allows for arrhythmia detection and cardiac phase sorting. The cardiac phase signal allows for detection of end-systolic and diastolic events which allows for improved sampling efficiency. In the case of frequent and severe arrhythmia, the method utilizes data from the normal and interrupted beats to improve sampling and image quality.

Abstract: Electrocardiogram (ECG)-gated cardiac magnetic resonance imaging (MRI) alone may be unable to capture the hemodynamics associated with arrhythmic events. As a result, values such as ejection fraction are acquisition dependent. The desired RR-duration determines the arrhythmia rejection. By combining real-time volume measurements with ECG recordings, beat morphologies can be categorized and a more comprehensive evaluation of ventricular function during arrhythmia can be provided.