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Fig. 3 | EJNMMI Physics

Fig. 3

From: Impact of image-based motion correction on dopamine D3/D2 receptor occupancy—comparison of groupwise and frame-by-frame registration approaches

Fig. 3

Selected temporal frames from a sagittal slice from subject 2’s baseline [11C]-(+)-PHNO data. Times are mid-frame times. a Before motion correction, b after motion correction by the conventional FBF algorithm and c after motion correction by the proposed GIR algorithm. Units are kBq/ml. d TACs from voxels in dorsal caudate and globus pallidus, depicted in colours corresponding to the voxels shown in a, b and c, which are spatially fixed to demonstrate the displacement. The subject exhibited obvious rotation of ~10°, as shown on the sagittal slices in a, which was corrected by the proposed method, as shown in c. The TACs for these regions were also obtained from all eight healthy subjects’ baseline data after motion correction, and the population TACs were generated by averaging TACs normalised for [11C]-(+)-PHNO dose and subject weight. These population TACs were scaled to match subject 2’s baseline data and are shown in d. The tracer kinetics showed consistency with the population data after GIR motion correction. The scan had no GSK618334 taken, and the [11C]-(+)-PHNO injected activity was 384.9 MBq (injected mass 4.24 μg)

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