Cardiac functional assessment without electrocardiogram using physiological self-navigation
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Date
2014
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Abstract
PurposeElectrocardiogram (ECG)-gated cine MRI provides highly accurate functional assessment of the heart. Nevertheless, reliable ECG signals are not always available due to patient's electrophysiology or due to high MR field strengths. Here, a novel framework for cardiac functional assessment using physiological information is presented, which is obtained from MR image data.
MethodsMultiple long-axis slices rotated around the center axis of the left ventricle are acquired using a 2D Golden Radial acquisition scheme. This sampling approach allows for both real-time data and retrospectively reordered cine images with different temporal resolutions. Functional information from the left ventricle is used for retrospective reordering of the data to reconstruct cine images without an external ECG signal. Afterward, individual 2D cine slices are synchronized using physiological information on the mitral valve closure. The proposed approach was assessed in 15 volunteers and applied in four patients for feasibility.
ResultsPhysiological gating signals obtained with our approach show great correlation with an ECG reference signal. Functional parameters determined with the presented method show a relative difference of less than 1.3% when compared with an ECG-gated approach.
ConclusionIt is successfully demonstrated that functional assessment of the heart is possible using physiological information obtained directly from MR image data. Magn Reson Med 71:942-954, 2014. (c) 2013 Wiley Periodicals, Inc.
MethodsMultiple long-axis slices rotated around the center axis of the left ventricle are acquired using a 2D Golden Radial acquisition scheme. This sampling approach allows for both real-time data and retrospectively reordered cine images with different temporal resolutions. Functional information from the left ventricle is used for retrospective reordering of the data to reconstruct cine images without an external ECG signal. Afterward, individual 2D cine slices are synchronized using physiological information on the mitral valve closure. The proposed approach was assessed in 15 volunteers and applied in four patients for feasibility.
ResultsPhysiological gating signals obtained with our approach show great correlation with an ECG reference signal. Functional parameters determined with the presented method show a relative difference of less than 1.3% when compared with an ECG-gated approach.
ConclusionIt is successfully demonstrated that functional assessment of the heart is possible using physiological information obtained directly from MR image data. Magn Reson Med 71:942-954, 2014. (c) 2013 Wiley Periodicals, Inc.