Ensuring Respiratory Phase Consistency to Improve Cardiac Function Quantification in Real-time CMR

Overview

Journal Magn Reson Med

Publisher Wiley

Specialty Radiology

Date 2021 Oct 31

PMID 34719067

Citations 1

Authors

Chong Chen

Preethi Chandrasekaran

Yingmin Liu

Orlando P Simonetti

Matthew Tong

Rizwan Ahmad

Affiliations

Soon will be listed here.

Abstract

Purpose: To develop an automatic method for selecting heartbeats with consistent respiratory phase to improve accuracy of cardiac function quantification in real-time (RT) cardiac MRI.

Methods: The respiratory signal is extracted by a principal component analysis method from RT cine images. Then, a two-step procedure is used to determine the directionality (sign) of the respiratory signal. With the motion in a manually selected region-of-interest as a reference, the quality of the extracted respiratory signal is assessed using multislice RT cine data from 11 volunteers and 10 patients. In addition, the impact of selecting heartbeats with consistent respiratory phase on the cardiac function quantification is evaluated.

Results: The extracted respiratory signal using the proposed method exhibits a high, positive correlation with the reference in all cases and is more robust compared to a recently proposed method. Also, for right ventricular function quantification, selecting heartbeats at expiratory position improves agreement between RT cine and breath-held reference.

Conclusion: The proposed method enables fully automatic extraction and directionality determinations of respiratory signal from RT cardiac cine images, allowing accurate cardiac function quantification.

Citing Articles

Cardiac and respiratory motion extraction for MRI using pilot tone-a patient study.

Chen C, Liu Y, Simonetti O, Tong M, Jin N, Bacher M Int J Cardiovasc Imaging. 2023; 40(1):93-105.

PMID: 37874445 PMC: 10842141. DOI: 10.1007/s10554-023-02966-z.

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