Dynamic Regularized Adaptive Cluster Optimization (DRACO) for Quantitative Cardiac Cine MRI in Complex Arrhythmias.

ABSTRACT:

Background

Irregular cardiac motion can render conventional segmented cine MRI nondiagnostic. Clustering has been proposed for cardiac motion binning and may be optimized for complex arrhythmias.

Purpose

To develop an adaptive cluster optimization method for irregular cardiac motion, and to generate the corresponding time-resolved cine images.

Study type

Prospective.

Subjects

Thirteen with atrial fibrillation, four with premature ventricular contractions, and one patient in sinus rhythm.

Field strength/sequence

Free-running balanced steady state free precession (bSSFP) with sorted golden-step, reference real-time sequence.

Assessment

Each subject underwent both the sorted golden-step bSSFP and the reference Cartesian real-time imaging. Golden-step

SUBMITTER: Ming Z 

PROVIDER: S-EPMC11538382 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature