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- W3160335008 abstract "1142 Objectives: For quantitative PET brain imaging, correction methods are necessary for accurate measurement. We demonstrate two alternate methods among multiple parameters including: pixel-intensity histograms, spatial autocorrelation function, point source RMS uncertainty and visual qualitative analysis. Methods: Optical feature-recognition and data-driven motion-correction methods are applied to a series of motion-impacted PET brain studies with FDG and Florbetaben. 10-minute scans are obtained on Siemens mCT and Siemens VISION PET-CT scanners. In order to provide useful data for processing, a non-clinical scan is performed with induced by the patient as instructed by the researcher. The optical method is described in previous work, Ref. 1. For the data-driven method, we divide the list-mode data into motion by the clustering method of Ref. 2. NAC images are reconstructed for each such frame and coregistered using 2D projections per Ref. 3 to determine (rigid body) poses. Motion correction is applied iteratively during OSEM reconstruction (TOF, PSF) per Ref. 4, Method C. Comparisons of voxel intensities, spatial autocorrelations, RMS uncertainties (derived using point sources attached to subjects9 heads) are made as well as visual comparison. Results: Both methods provide comparable results for translations as large as 2 cm and rotations as large as 45 degrees. The two methods find nearly identical frames and rotation angles and compatible translations. Both methods efficiently correct for head with point-source spatial RMS values smaller than 1 mm in each dimension. Conclusions: The included parameters provided useful metrics for comparison with both methods being practical and effective as shown. They may be complementary with the simpler data-driven method preferred for static scans. The optical pose method may be useful for dynamic studies with substantially changing radionuclide spatial distributions." @default.
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- W3160335008 date "2021-05-01" @default.
- W3160335008 modified "2023-09-25" @default.
- W3160335008 title "Motion correction for PET; brain imaging case series comparisons of optical-pose and data-driven methods" @default.
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