Motion frozen (18)F-FDG cardiac PET.

BACKGROUND: PET reconstruction incorporating spatially variant 3D Point Spread Function (PSF) improves contrast and image resolution. "Cardiac Motion Frozen" (CMF) processing eliminates the influence of cardiac motion in static summed images. We have evaluated the combined use of CMF- and PSF-based reconstruction for high-resolution cardiac PET. METHODS: Static and 16-bin ECG-gated images of 20 patients referred for (18)F-FDG myocardial viability scans were obtained on a Siemens Biograph-64. CMF was applied to the gated images reconstructed with PSF. Myocardium to blood contrast, maximum left ventricle (LV) counts to defect contrast, contrast-to-noise (CNR) and wall thickness with standard reconstruction (2D-AWOSEM), PSF, ED-gated PSF, and CMF-PSF were compared. RESULTS: The measured wall thickness was 18.9 ± 5.2 mm for 2D-AWOSEM, 16.6 ± 4.5 mm for PSF, and 13.8 ± 3.9 mm for CMF-PSF reconstructed images (all P < .05). The CMF-PSF myocardium to blood and maximum LV counts to defect contrasts (5.7 ± 2.7, 10.0 ± 5.7) were higher than for 2D-AWOSEM (3.5 ± 1.4, 6.5 ± 3.1) and for PSF (3.9 ± 1.7, 7.7 ± 3.7) (CMF vs all other, P < .05). The CNR for CMF-PSF (26.3 ± 17.5) was comparable to PSF (29.1 ± 18.3), but higher than for ED-gated dataset (13.7 ± 8.8, P < .05). CONCLUSION: Combined CMF-PSF reconstruction increased myocardium to blood contrast, maximum LV counts to defect contrast and maintained equivalent noise when compared to static summed 2D-AWOSEM and PSF reconstruction.

Enhanced definition PET for cardiac imaging.

BACKGROUND: We aimed to determine in phantom and cardiac clinical studies the impact of a new high-resolution PET image reconstruction. METHODS: A phantom with cardiac insert filled with (18)F, 14 (18)F-FDG viability studies and 15 (82)Rb perfusion studies were acquired on a Siemens Biograph-64 (4-ring). The data were reconstructed with 2D- and 3D-attenuation weighted ordered subsets expectation maximization (AWOSEM), and high-definition reconstruction (HD.PET). We calculated wall/cavity contrast, contrast-to-noise ratio (CNR), wall thickness, motion/thickening and ejection fraction. RESULTS: In the phantom study, we found an increase in defect size (up to 26%), contrast (up to 48%) and CNR (1.9) with HD.PET as compared to standard techniques. The contrast increased on HD.PET images compared to 2D- and 3D-AWOSEM for viability (14.0% +/- 4.8%) and perfusion studies (7.3% +/- 4.3%) (P < .05). Average CNR increased with HD.PET by 79.4% +/- 17.1% and 68.8% +/- 3.0% in viability and perfusion studies respectively (all P < .05). Average wall thickness with HD.PET decreased in the phantom study by 1.3 +/- 0.3 mm and the viability studies by 1.9 +/- 0.7 mm but not in the perfusion studies. The functional measurements were not significantly different for any techniques. CONCLUSIONS: We demonstrated both in phantom and patient cardiac studies that HD.PET improves image contrast, defect definition, and CNR.