The purpose of this study is to assess the effectiveness of new software available on a new PET/CT scanner in the Molecular Imaging Research PET/CT Facility. Further, the study aims to evaluate the data acquisition and image processing workflow.
The study will be separated into three cohorts: Motion Correction, Parametric Imaging, and MAP Reconstruction. The motion correction (Aim 1) cohort will involve a group of 30 subjects who are already enrolled in Mayo Clinic Rochester research study 08-005553 (PI: Dr Val Lowe) and are scheduled to be scanned on the Siemens Biograph Vision 600 PET/CT system in the PET/CT Molecular Imaging Research Center in Charlton 6 of Mayo Clinic Rochester. The data gathered from this cohort will assess the effectiveness of motion correction software for patients undergoing PET brain scans. The parametric imaging (Aim 2) cohort will include 30 subjects that have recently undergone a brain or whole body oncologic PET/CT scans on the V600-R1. The purpose of this cohort is to assess the data acquisition and image processing workflow for parametric analysis of brain and whole body scans. The MAP Reconstruction Cohort (Aim 3) is a retrospective study to assess the quality of PET images reconstructed with maximum a posteriori (MAP) reconstruction algorithm.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
80
A cohort of participants in Aim 2 will undergo a 18F-FDG PET/CT scan. This scan is done with a radiotracer called 18F-fluorodeoxyglucose (FDG). FDG looks at cellular activity.
A cohort of participants in Aim 2 will undergo a 18F-AV1451 PET/CT scan. This scan is done with a radiotracer called 18F-AV1451 (TAU) that will find small areas of tau (abnormal protein) in the brain.
Software to correct for motion
Mayo Clinic in Rochester
Rochester, Minnesota, United States
Motion Correction
Confirm that motion-corrected reconstructed images acquired when the subject was moving provides similar image quality to the baseline reference reconstructed images acquired when the subject was instructed to remain still. For each subject compute the cumulative absolute relative difference (ARD) histogram in standard uptake values in grey matter voxels in images with and without motion correction versus a reference image for which the subject was stationary, then calculate the percentage of voxels with an ARD greater than 10%. Calculate mean and standard deviation across all subjects. For this measurement 0% is ideal.
Time frame: 2 years
Parametric Imaging
Metabolic rate of 18F-FDG measured from dynamic PET images. Uptake rate constant Ki in the grey matter of the brain.
Time frame: 2 years
Map Reconstruction
Confirm that maximum a posteriori reconstructed PET images are diagnostically acceptable. Calculate the Signal-to-Noise ratio (SNR) of the liver and of lesions in images reconstructed with clinical reconstruction (OPTOF) and with MAP (maximum a posteriori) reconstruction. Compute the median and range of SNR for liver and lesions for OPTOF and MAP reconstructions.
Time frame: 2 years
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