Work

Automated adaptive detection and reconstruction of quiescent cardiac phases in free-running whole-heart acquisitions using Synchronicity Maps from PHysiological mOtioN In Cine (SYMPHONIC) MRI

Year: 2025

Type: article

Abstract: Purpose To reconstruct whole-heart images from free-running acquisitions through automated selection of data acceptance windows (ES: end-systole, MD: mid-diastole, ED: end-diastole) that account for heart rate variability (HRV). Methods SYMPHONIC was developed and validated in simulated ( N = 1000) and volunteer ( N = 14) data. To validate SYMPHONIC, the position of the detected acceptance windows, total duration, and resulting ventricular volume were compared to the simulated ground truth to establish metrics for temporal error, quiescent interval duration, and volumetric error, respectively. SYMPHONIC MD images and those using manually defined acceptance windows with fixed (MANUAL FIXED ) or adaptive (MANUAL ADAPT ) width were compared by measuring vessel sharpness (VS). The impact of HRV was assessed in patients ( N = 6). Results Mean temporal error was larger for MD than for ED and ED in both simulations and volunteers. Mean volumetric errors were comparable. Interval duration differed for ES ( p = 0.04) and ED ( p < 10 –3 ), but not for MD ( p = 0.08). In simulations, SYMPHONIC and MANUAL ADAPT provided consistent VS for increasing HRV, while VS decreased for MANUAL FIXED . In volunteers, VS differed between MANUAL ADAPT and MANUAL FIXED ( p < 0.01), but not between SYMPHONIC and MANUAL ADAPT ( p = 0.03) or MANUAL FIXED ( p = 0.42). Conclusion SYMPHONIC accurately detected quiescent cardiac phases in free-running data and resulted in high-quality whole-heart images despite the presence of HRV.

Source: Magnetic Resonance Materials in Physics Biology and Medicine

DOI: 10.1007/s10334-025-01289-5