Matti J Kortelainen1,2, Tuomas M Koivumäki3, Marko J Vauhkonen4, Mikko A Hakulinen4,5. 1. Department of Applied Physics, University of Eastern Finland, POB 1627, Kuopio, FI-70211, Finland. matti.kortelainen@uef.fi. 2. Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland. matti.kortelainen@uef.fi. 3. Department of Medical Physics, Central Finland Central Hospital, Jyväskylä, Finland. 4. Department of Applied Physics, University of Eastern Finland, POB 1627, Kuopio, FI-70211, Finland. 5. Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
Abstract
BACKGROUND: Respiratory motion compromises image quality in myocardial perfusion (MP) single-photon emission computed tomography (SPECT) imaging and may affect analysis of left ventricular (LV) functional parameters, including phase analysis-quantified mechanical dyssynchrony parameters. In this paper, we investigate the performance of two algorithms, respiratory blur modeling (RBM) and joint motion-compensated (JMC) ordered-subsets expectation maximization (OSEM), and the effects of motion compensation on cardiac-gated MP-SPECT studies. METHODS: Image acquisitions were carried out with a dual-detector SPECT/CT system in list-mode format. A cardiac phantom was imaged as stationary and under respiratory motion. The images were reconstructed with OSEM, RBM-OSEM, and JMC-OSEM algorithms, and compared in terms of mean squared error (MSE). Subsequently, MP-SPECT data of 19 patients were binned into dual-gated (respiratory and cardiac gating) projection images. The images of the patients were analyzed with Quantitative Gated SPECT (QGS) 2012 program (Cedars-Sinai Medical Center, USA). The parameters of interest were LV volumes, ejection fraction, wall motion, wall thickening, phase analysis, and perfusion parameters. RESULTS: In phantom experiment, compared to the stationary OSEM reconstruction, the MSE values for OSEM, RBM-OSEM, and JMC-OSEM were 8.5406·10-5,2.7190·10-5, and 2.0795·10-5, respectively. In the analysis of LV function, use of JMC had a small but statistically significant (p < 0.05) effect on several parameters: it increased LV volumes and standard deviation of phase angle histogram, and it decreased ejection fraction, global wall motion, and lateral, septal, and apical perfusion. CONCLUSIONS: Compared to standard OSEM algorithm, RBM-OSEM and JMC-OSEM both improve image quality under motion. Motion compensation has a minor effect on LV functional parameters.
BACKGROUND: Respiratory motion compromises image quality in myocardial perfusion (MP) single-photon emission computed tomography (SPECT) imaging and may affect analysis of left ventricular (LV) functional parameters, including phase analysis-quantified mechanical dyssynchrony parameters. In this paper, we investigate the performance of two algorithms, respiratory blur modeling (RBM) and joint motion-compensated (JMC) ordered-subsets expectation maximization (OSEM), and the effects of motion compensation on cardiac-gated MP-SPECT studies. METHODS: Image acquisitions were carried out with a dual-detector SPECT/CT system in list-mode format. A cardiac phantom was imaged as stationary and under respiratory motion. The images were reconstructed with OSEM, RBM-OSEM, and JMC-OSEM algorithms, and compared in terms of mean squared error (MSE). Subsequently, MP-SPECT data of 19 patients were binned into dual-gated (respiratory and cardiac gating) projection images. The images of the patients were analyzed with Quantitative Gated SPECT (QGS) 2012 program (Cedars-Sinai Medical Center, USA). The parameters of interest were LV volumes, ejection fraction, wall motion, wall thickening, phase analysis, and perfusion parameters. RESULTS: In phantom experiment, compared to the stationary OSEM reconstruction, the MSE values for OSEM, RBM-OSEM, and JMC-OSEM were 8.5406·10-5,2.7190·10-5, and 2.0795·10-5, respectively. In the analysis of LV function, use of JMC had a small but statistically significant (p < 0.05) effect on several parameters: it increased LV volumes and standard deviation of phase angle histogram, and it decreased ejection fraction, global wall motion, and lateral, septal, and apical perfusion. CONCLUSIONS: Compared to standard OSEM algorithm, RBM-OSEM and JMC-OSEM both improve image quality under motion. Motion compensation has a minor effect on LV functional parameters.
Authors: Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Xingping Kang; Cigdem Akincioglu; John D Friedman; Sean W Hayes; Usaf E Aladl; Guido Germano Journal: J Nucl Med Date: 2004-07 Impact factor: 10.057
Authors: G Germano; P B Kavanagh; H T Su; M Mazzanti; H Kiat; R Hachamovitch; K F Van Train; J S Areeda; D S Berman Journal: J Nucl Med Date: 1995-06 Impact factor: 10.057