An analysis of motion correction for ⁹⁹Tc^m DMSA renal imaging in paediatrics

Abstract 

Movement artefact during paediatric ⁹⁹Tc^m DMSA renal imaging can reduce image quality and therefore render images non-diagnostic. This research assessed software used for the correction of movement artefact in children. The software comprised a count rate dependent dynamic acquisition with a 256×256 pixel frame-shift motion correction algorithm.

A Williams' phantom was used to generate data during dynamic (experimental) and static (control) image acquisitions. During image acquisition, the Williams' phantom was moved to simulate seven typical paediatric patient movements; acquisitions also considered no movement (Gold Standard).

Seven image data sets with motion artefact were corrected using the frame-shift software. The corrected, uncorrected, and static images were rated for quality by suitably qualified and experienced nuclear medicine professionals. The images were scored using an image quality assessment instrument, based on a Likert rating scale. Inferential statistics were applied to these data.

The image quality ratings demonstrated a statistically significant (P<0.001) improvement between the uncorrected and corrected conditions. However, two movement types did not improve as favourably as the other five when compared to the Gold Standard.

The findings suggest that for most simulated child movement types, dynamic acquisition together with frame-shift can significantly improve diagnostic quality when motion artefact is evident on ⁹⁹Tc^m DMSA renal scans.

Keywords: Motion correction, Paediatric, Dynamic imaging, DMSA ⁹⁹Tc^m renal imaging