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.
Authors
Affiliations (9)
Affiliations (9)
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland.
- Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, InselspitalLausanne, Switzerland.
- Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.
- Division of Pediatric Cardiology, Woman-Mother-Child Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
- Service of Cardiology, Heart and Vessel Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
- INSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, UJM-Saint-Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, France.
- Department of Radiology, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France.
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland. [email protected].
Abstract
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). 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<sub>FIXED</sub>) or adaptive (MANUAL<sub>ADAPT</sub>) width were compared by measuring vessel sharpness (VS). The impact of HRV was assessed in patients (N = 6). 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<sup>-3</sup>), but not for MD (p = 0.08). In simulations, SYMPHONIC and MANUAL<sub>ADAPT</sub> provided consistent VS for increasing HRV, while VS decreased for MANUAL<sub>FIXED</sub>. In volunteers, VS differed between MANUAL<sub>ADAPT</sub> and MANUAL<sub>FIXED</sub> (p < 0.01), but not between SYMPHONIC and MANUAL<sub>ADAPT</sub> (p = 0.03) or MANUAL<sub>FIXED</sub> (p = 0.42). SYMPHONIC accurately detected quiescent cardiac phases in free-running data and resulted in high-quality whole-heart images despite the presence of HRV.