Predictive signal modeling and multi-rate filtering in accelerated cardiac MRI.

ABSTRACT:

Purpose

True real-time cardiac MRI (CMR), necessary for capturing live cardiac dynamics and imaging irregular cardiac rhythms, remains challenging. In this article, we move toward real-time CMR in multiple reconstruction frameworks via strategies to predict cardiac motion, improve computational efficiency, reduce artifacts, and preserve spatial resolution.

Theory and methods

A published predictive signal model (PMOT) for imaging irregular cardiac dynamics was modified (mPMOT) to enable efficient computation of state-transition matrices for predicting cardiac motion, as training PMOT is computationally expensive. A multi-rate Kalman filter framework was developed to enable computationally efficient reconstructions of high-resolution, large-matrix CMR datasets. Reconstructions

SUBMITTER: Curtis AD 

PROVIDER: S-EPMC12620177 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature