Predictive signal modeling and multi‐rate filtering in accelerated cardiac MRI

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Modification of predictive signal modeling improves cardiac imaging efficiency, indicating potential for real-time capture.

mPMOT reconstruction achieved high-quality cardiac MRI images with acceleration factors of 9 and 13.5, considerably speeding up previous models.
Utilizing a multi-rate Kalman filter, computation time was reduced from 5439 seconds to 56 seconds, without sacrificing spatial resolution.
Training the modified predictive signal model is two orders of magnitude faster than the original, improving computational efficiency in cardiac imaging.
mPMOT significantly reduced temporal blurring artifacts in compressed sensing reconstructions, enhancing the overall image quality.

Curtis et al. (2025) studied this question.

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