Accuracy of subject-specific prediction of end-systolic time in MRI across a range of RR intervals.

ABSTRACT:

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 systo

SUBMITTER: Meyer C 

PROVIDER: S-EPMC5466307 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature