Prospective cardiac motion self-gating

Quantitative Imaging in Medicine and Surgery
Fei HanPeng Hu

Abstract

To develop a prospective cardiac motion self-gating method that provides robust and accurate cardiac triggers in real time. The proposed self-gating method consists of an "imaging mode" that acquires the k-space segments and a "self-gating mode" that captures the cardiac motion by repeatedly sampling the k-space centerline. A training based principal component analysis algorithm is utilized to process the self-gating data where the projection onto the first principal component was used as the self-gating signal. Retrospective studies using a sequence with self-gating mode only was performed on 8 healthy subjects to validate the accuracy and reliability of the self-gating triggers. Prospective studies using both ECG-gated and self-gated cardiac CINE sequences were conducted on 6 healthy subjects to compare the image quality. Using the ECG as the reference, the proposed method was able to detect self-gating triggers within ±10 ms accuracy on all 8 subjects in the retrospective study. The prospectively self-gated CINE sequence successfully detected 100% of the cardiac triggers and provided excellent CINE image quality without using ECG signals. The proposed cardiac self-gating method is a robust and accurate alternative to convent...Continue Reading

Citations

Apr 23, 2019·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Ruixi ZhouMichael Salerno
Apr 28, 2021·Magnetic Resonance Imaging·Henrik von KleistMehdi H Moghari

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