Tommi Kokki1,2, Riku Klén3,4, Tommi Noponen3, Jussi Pärkkä3,5, Virva Saunavaara3, Erika Hoppela3, Mika Teräs3, Juhani Knuuti3. 1. Turku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland. toolko@utu.fi. 2. Department of Clinical Physiology and Radioisotope Imaging, Turku University Hospital, 20521, Turku, Finland. toolko@utu.fi. 3. Turku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland. 4. Department of Mathematics and Statistics, University of Turku, 20014, Turku, Finland. 5. Department of Clinical Physiology and Radioisotope Imaging, Turku University Hospital, 20521, Turku, Finland.
Abstract
BACKGROUND: In cardiac PET, CT, and MRI respiration is major reason for impaired image quality of small targets such as coronary arteries. Strong correlations between heart motion and respiratory signals have been detected but quantitative relation between signals and motion of cardiac structures in MRI or PET is not reported . METHODS: Relation between spirometric lung volume or pressure belt signal and motion of coronary vessels in MRI was studied on nine healthy volunteers. Spirometry was further applied to (18)F-FDG cardiac PET study to determine quantitative relation between volume change and motion of center of myocardium activity (CMA) on nine CAD patients. RESULTS: Correlation coefficients (CC) between vessel motions and volume or pressure changes were 0.90-0.92 or 0.86-0.84, respectively. The linear equations based on volume or pressure changes derived 2.0-2.6 or 2.9-3.3 mm mean estimation error for vessel motions. In PET CC value of 0.93 was determined between volume changes and CMA motions. The linear equation based on volume change derived maximum estimation error of 2.5 mm for CMA motion. CONCLUSION: The spirometric volume change linearly estimates motion of myocardium in PET with good accuracy and have potential to guide selection of optimal number of respiratory gates in cardiac PET.
BACKGROUND: In cardiac PET, CT, and MRI respiration is major reason for impaired image quality of small targets such as coronary arteries. Strong correlations between heart motion and respiratory signals have been detected but quantitative relation between signals and motion of cardiac structures in MRI or PET is not reported . METHODS: Relation between spirometric lung volume or pressure belt signal and motion of coronary vessels in MRI was studied on nine healthy volunteers. Spirometry was further applied to (18)F-FDG cardiac PET study to determine quantitative relation between volume change and motion of center of myocardium activity (CMA) on nine CAD patients. RESULTS: Correlation coefficients (CC) between vessel motions and volume or pressure changes were 0.90-0.92 or 0.86-0.84, respectively. The linear equations based on volume or pressure changes derived 2.0-2.6 or 2.9-3.3 mm mean estimation error for vessel motions. In PET CC value of 0.93 was determined between volume changes and CMA motions. The linear equation based on volume change derived maximum estimation error of 2.5 mm for CMA motion. CONCLUSION: The spirometric volume change linearly estimates motion of myocardium in PET with good accuracy and have potential to guide selection of optimal number of respiratory gates in cardiac PET.
Authors: Tommi Kokki; Hannu T Sipilä; Mika Teräs; Tommi Noponen; Nicolas Durand-Schaefer; Riku Klén; Juhani Knuuti Journal: J Nucl Cardiol Date: 2010 Jan-Feb Impact factor: 5.952
Authors: Florian Büther; Iris Ernst; Mohammad Dawood; Peter Kraxner; Michael Schäfers; Otmar Schober; Klaus P Schäfers Journal: Eur J Nucl Med Mol Imaging Date: 2010-07-06 Impact factor: 9.236
Authors: Adam M Alessio; Steve Kohlmyer; Kelley Branch; Grace Chen; James Caldwell; Paul Kinahan Journal: J Nucl Med Date: 2007-05 Impact factor: 10.057
Authors: R Klén; J Teuho; T Noponen; K Thielemans; E Hoppela; E Lehtonen; H T Sipila; M Teräs; J Knuuti Journal: Sci Rep Date: 2020-11-09 Impact factor: 4.379