BACKGROUND: This study described a method for tracking and compensating respiratory motion in cadmium-zinc-telluride (CZT) cameras. We evaluated motion effects on myocardial perfusion imaging and assessed the usefulness of motion compensation in phantom and clinical studies. METHODS: SPECT studies were obtained from an oscillating heart phantom and 552 patients using CZT cameras with list-mode acquisition. Images were reformatted in 500-ms frames, and the activity centroid was calculated as respiratory signal. The myocardial perfusion, left ventricular (LV) wall thickness, and LV volume were assessed before and after the motion compensation technique. RESULTS: In phantom studies, we documented only minimal bias between simulated and measured shifts. Significantly reduced tracer activity, increased wall thickness and decreased volume in scans with 15 mm or more axial shifts were noted. In clinical studies, there was a higher prevalence of significant motion after treadmill exercise. The motion compensation technique could successfully compensate those motion artifacts. CONCLUSION: The described method allows for tracking and compensating respiratory motion in CZT cameras. Significant respiratory motion is still not uncommon using CZT cameras, especially in patients who underwent treadmill tests. Motion blurring can be compensated using image processing techniques and image quality could be significantly improved.
BACKGROUND: This study described a method for tracking and compensating respiratory motion in cadmium-zinc-telluride (CZT) cameras. We evaluated motion effects on myocardial perfusion imaging and assessed the usefulness of motion compensation in phantom and clinical studies. METHODS: SPECT studies were obtained from an oscillating heart phantom and 552 patients using CZT cameras with list-mode acquisition. Images were reformatted in 500-ms frames, and the activity centroid was calculated as respiratory signal. The myocardial perfusion, left ventricular (LV) wall thickness, and LV volume were assessed before and after the motion compensation technique. RESULTS: In phantom studies, we documented only minimal bias between simulated and measured shifts. Significantly reduced tracer activity, increased wall thickness and decreased volume in scans with 15 mm or more axial shifts were noted. In clinical studies, there was a higher prevalence of significant motion after treadmill exercise. The motion compensation technique could successfully compensate those motion artifacts. CONCLUSION: The described method allows for tracking and compensating respiratory motion in CZT cameras. Significant respiratory motion is still not uncommon using CZT cameras, especially in patients who underwent treadmill tests. Motion blurring can be compensated using image processing techniques and image quality could be significantly improved.
Authors: Joyoni Dey; William P Segars; P Hendrik Pretorius; Ronn P Walvick; Philippe P Bruyant; Seth Dahlberg; Michael A King Journal: Med Phys Date: 2010-12 Impact factor: 4.071
Authors: Ralph A Bundschuh; Axel Martínez-Moeller; Markus Essler; María-José Martínez; Stephan G Nekolla; Sibylle I Ziegler; Markus Schwaiger Journal: J Nucl Med Date: 2007-05 Impact factor: 10.057
Authors: Lefteris Livieratos; Kim Rajappan; Lars Stegger; Klaus Schafers; Dale L Bailey; Paolo G Camici Journal: Eur J Nucl Med Mol Imaging Date: 2006-01-17 Impact factor: 9.236
Authors: Matti J Kortelainen; Tuomas M Koivumäki; Marko J Vauhkonen; Marja K Hedman; Satu T J Kärkkäinen; Juanita Niño Quintero; Mikko A Hakulinen Journal: J Nucl Cardiol Date: 2017-03-16 Impact factor: 5.952