Zhenzhou Wang
Zhenzhou Wang
College of electrical and electronic engineering, Shandong University of Technology, Zibo City, Shandong Province, and China
Email: [email protected]
Measurement of the mechanical dyssynchrony of the ventricle is important for the cardiac resynchronization therapy (CRT) and the evaluation of patients with heart failures. So far, feature-tracking cardiovascular magnetic resonance (FT-CMR) has become the most popular method for measuring the mechanical dyssynchrony. FT-CMR calculates the strain values based on the pre-defined segments of the ventricle and thus it might miss some important regional information. In this paper, we propose a new approach to measure the intra-ventricular mechanical dyssynchrony based on the uniformly sampled points from all the regions of the ventricle. Accordingly, the proposed approach will not miss any regional information of the ventricle. In addition, the proposed approach is fully automatic and not depedent on the training sets. It calculates the mechnical dyssynchrony rapidly and determines whether the tested case is normal or patient immdiately. The proposed approach was validated with 40 tested cases (20 normal cases and 20 patient cases). Experimental results showed that the fully automatic intra-ventricular mechanical dyssynchrony measurement approach achieved 100% diagnosis accuracy for the left ventricle (LV) and achieved 95% diagnoisis accuracy for the right ventricle (RV).
Dyssynchrony, measurement, Image processing, Cross correlation, Strain, Feature-tracking cardiovascular magnetic resonance.
Zhenzhou Wang (2020). Measurement of the Intra-ventricular Mechanical Dyssynchrony in Cardiac Magnetic Resonance Images. Journal of Artificial Intelligence and Systems, 2, 98–117. https://doi.org/10.33969/AIS.2020.21007.
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