Open AccessAccuracy of subject-specific prediction of end-systolic time in MRI across a range of RR intervals
Author(s) -
Christophe Meyer,
Jacques Felblinger,
PierreAndré Vuissoz,
Laurent Bonnemains
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0179011
Subject(s) - systole , cardiac cycle , cardiology , population , medicine , mathematics , cardiac imaging , algorithm , diastole , blood pressure , environmental health
Background Prediction of End-Systole time is of utmost importance for cardiac MRI to correctly associate acquired k-space lines during reconstruction of cine acquisitions. This prediction is usually based on the patient’s heart rate using Weissler’s formula, which was calibrated by linear regression within a population and cannot account for individual variability. Objective We propose an automatic method to build a personalized model that better predicts end-systole. Methods A phase contrast sequence was modified to acquire only central k-space line with 6.6ms temporal resolution, in a slice passing through the aorta during 128 heartbeats in 35 subjects. Segmentation of aorta and detection of end of systolic ejection was automatic. Duration of electromechanical systole duration as function of heart rate was determined for each subject separately. Results In comparison with the global models, the adapted cardiac model predicted significantly better both echocardiographic end-systolic reference (bias = 0ms vs 17ms, p<0.001) and MRI measurements (bias = 6.8ms vs 17ms). Favorable impact was shown on the cine reconstruction of the 5 subjects with the higher cardiac variability (p = 0.02). Conclusions Personalization of cardiac model to the subject is feasible in MRI and reduces the error of prediction of systole.