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However, motion correction for cardiac motion still plays a role.
A list-mode reconstruction based respiratory motion correction for PET has been implemented and its performance evaluated.
The fact that we observed a higher degree of motion correction for the first few volumes supports this assumption.
In the future, in vivo animal and human PET-MR studies will be performed to further assess the performance of MR-based motion correction for PET parametric imaging.
This includes motion correction for involuntary patient motion and any subsequent quantification that may be biased from patient motion during the examination.
The influence of motion correction for a sample subtracted image at the fifth post-contrast time point is presented in Fig. 2.
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While motion correction algorithms correct for artifacts due to changes in head position, they do not correct for distortions of the magnetic field caused by the moving mass of the head (or in our experiments, movements of the limb).
The multiple over-sampling of central k-space using periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) offers significant advantages over other methods for patient motion correction, as it corrects for two types of motion: in-plane rotation and translation.
For example, in the case of motion correction, metrics for model selection should include an estimate of residual head motion effects in the data [ 87- 90].
A scanning laser ophthalmoscope (SLO) may be used for retinal tracking [ 31, 32], and other motion correction methods for OCT use the addition of an SLO system to either acquire a reference SLO image [ 33] or to rescan regions of the volume that suffered from motion [ 34].
Wang et al. [16] proposed a dual respiratory and cardiac motion correction scheme for myocardial perfusion PET and studied its effectiveness on myocardial perfusion defect detection.
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