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Motion correction enables large volumes to be acquired without motion artifacts and merging improves image quality.
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Furthermore, the improved detective quantum efficiency of the detectors (Ruskin et al., 2013; McMullan et al., 2014) has enhanced the signal present in the images, and this enhancement combined with motion correction has enabled single-particle reconstructions to reach higher resolutions.
Coupled with new perfusion software, this technique enables motion correction, registration, and evaluation of perfusion MR parameters.
Solving this artifact in future TSLO implementations will enable larger motion correction bandwidths and consequently a better reduction of the phase noise than reported in this paper.
Furthermore the inherent tomographic imaging may potentially enable 3-D patient motion correction including rotation, while S-SPECT methods can usually directly account only for translations.
This manuscript presents a software based OCT motion correction algorithm which can correct motion in three dimensions and on a per A-scan basis and enables merging motion corrected volume data to enhance the OCT signal quality without requiring a motion free reference image or additional hardware on the OCT instrument.
Functional data were motion corrected offline with the Siemens motion correction protocol.
The availability of simultaneously-acquired MR and PET data will also enable incorporation of dynamic correlations and motion correction into the joint reconstruction framework.
Ongoing technical improvements such as MR-based PET motion correction are anticipated and will lead to higher spatial and temporal resolution, enabling advanced applications such as imaging of coronary atherosclerosis.
SPM enables every slice in an fMRI image sequence to be realigned for motion correction of individual head movements, and the resliced image sequence to be generated.
Images were displayed sequentially and corrected for motion when necessary using motion correction software.
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