title: Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging.
abstract: Both respiratory and cardiac motions reduce the quality and consistency of medical imaging specifically in nuclear medicine imaging. Motion artifacts can be eliminated by gating the image acquisition based on the respiratory phase and cardiac contractions throughout the medical imaging procedure. Electrocardiography (ECG), 3-axis accelerometer, and respiration belt data were processed and analyzed from ten healthy volunteers. Seismocardiography (SCG) is a noninvasive accelerometer-based method that measures accelerations caused by respiration and myocardial movements. This study was conducted to investigate the feasibility of the accelerometer-based method in dual gating technique. The SCG provides accelerometer-derived respiratory (ADR) data and accurate information about quiescent phases within the cardiac cycle. The correct information about the status of ventricles and atria helps us to create an improved estimate for quiescent phases within a cardiac cycle. The correlation of ADR signals with the reference respiration belt was investigated using Pearson correlation. High linear correlation was observed between accelerometer-based measurement and reference measurement methods (ECG and Respiration belt). Above all, due to the simplicity of the proposed method, the technique has high potential to be applied in dual gating in clinical cardiac positron emission tomography (PET) to obtain motion-free images in the future.
authors.affiliation: Technology Research Center, Brahea Center, University of Turku, 20520 Turku, Finland ; Department of Clinical Physiology and Nuclear Medicine, Faculty of Medicine, University of Turku, 20520 Turku, Finland.
authors.forename: Mojtaba
authors.identifier: 0000-0002-4085-4057
authors.initials: M
authors.lastname: Jafari Tadi
authors.affiliation: Technology Research Center, Brahea Center, University of Turku, 20520 Turku, Finland.
authors.forename: Tero
authors.identifier: 0000-0003-3792-8999
authors.initials: T
authors.lastname: Koivisto
authors.affiliation: Technology Research Center, Brahea Center, University of Turku, 20520 Turku, Finland.
authors.forename: Mikko
authors.initials: M
authors.lastname: Pänkäälä
authors.affiliation: Technology Research Center, Brahea Center, University of Turku, 20520 Turku, Finland.
authors.forename: Ari
authors.initials: A
authors.lastname: Paasio