Reducing bladder artifacts in clinical pelvic SPECT images.

UNLABELLED: SPECT imaging of the pelvis is hampered by the presence of bladder artifacts, which render up to 20% of the images unreadable. The artifacts are caused by the high level of activity in the bladder and by the change in activity level as the bladder fills during data acquisition. The changing activity, together with the inhomogeneous attenuation of the pelvis, leads to inconsistencies in the projections and consequently artifacts when the data are reconstructed with filtered backprojection (FBP). dSPECT is an iterative algorithm that permits the reconstruction of dynamic SPECT images from a single, slow-rotation SPECT data acquisition. The reconstruction algorithm incorporates attenuation correction (AC) and changing tracer distributions and has been shown to reduce bladder artifacts in simulated data. In this study, we showed that dSPECT is effective at removing bladder artifacts from clinically acquired pelvic bone SPECT images.

METHODS

Data from 20 patient volunteers were reconstructed using FBP, rescaled block-iterative reconstruction (RBI) without AC, RBI with AC, and dSPECT. AC was based on patient-specific attenuation maps acquired with a (153)Gd scanning line-source transmission system. For dSPECT, 16 time frames (4 projections/head/frame) were reconstructed and then summed to produce the final image. Artifact-to-bone contrast was compared, and image quality was subjectively assessed.

RESULTS

Compared with FBP, RBI without AC significantly reduced (P = 0.008) the streak artifact. Both dSPECT and RBI with AC further significantly reduced (P < 0.001) the streak artifact and also improved the uniformity and symmetry of bone tracer-uptake. RBI with AC and dSPECT produced equivalent images if the change in bladder activity during acquisition was modest; however, with large changes in the activity (>100%), RBI with AC did not completely remove the artifact. In that situation, dSPECT produced additional reductions in streak-to-bone contrast.

CONCLUSION

Of the methods considered, dSPECT is the most effective at removing bladder artifacts in clinical pelvic SPECT.