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Pnevmatikakis, E. A. & Giovannucci, A. NoRMCorre: An online algorithm for piecewise rigid motion correction of calcium imaging data.
Motion correction of fMRI data is a widely used step prior to data analysis.
Jenkinson, M., Bannister, P., Brady, M. & Smith, S. Improved optimization for the robust and accurate linear registration and motion correction of brain images.
The results indicate that the proposed method is suitable for use in respiratory motion correction of PET data.
First of all, we utilize a single cardiac and respiratory PET gate, assuming that a perfect motion correction of the PET dataset is performed.
These results indicate that the groupwise registration approach can provide improved motion correction of dynamic brain PET data as compared to frame-by-frame registration approaches for receptor occupancy studies.
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The goal of this study is to systematically investigate the effect of respiratory motion correction on the estimation of end-diastolic volume (EDV), end-systolic volume (ESV), and EF, especially on the separation of normal and abnormal EFs.
To determine the effect of motion correction on accuracy and precision of VT with no actual motion present in the data, 100 motion-free simulated PET scans with added noise were analysed both with and without motion correction.
Figure 4 shows the final performance of the motion correction for the OCT as a function of frequency, which was computed by combining the TSLO frequency performance (Sheehy et al. [ 29]) with the latency.
The use of MR navigators for motion correction (MC) of PET in simultaneous PET/MR typically entails dense sampling of navigators during the full PET scan, preventing other MR sequences from being acquired [4, 18].
For the scans where there were unrealistic values of V T, the motion correction error of FBF was not always visually detectable, suggesting that small residual motion can introduce significant errors into V T particularly for regions with slower kinetics such as the globus pallidus and ventral striatum.
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