Improving PET Image Quality and Quantification by Using Motion Correction, Parametric Imaging and MAP Reconstruction
Overview
- Phase
- Phase 4
- Intervention
- Siemens E7 Reconstruction Tool
- Conditions
- Brain Imaging
- Sponsor
- Mayo Clinic
- Enrollment
- 80
- Locations
- 1
- Primary Endpoint
- Motion Correction
- Status
- Completed
- Last Updated
- last year
Overview
Brief Summary
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.
Detailed Description
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.
Investigators
Bradley Kemp
Principal Investigator
Mayo Clinic
Eligibility Criteria
Inclusion Criteria
- •18 years of age or older
- •Subjects who are able and willing to sign the informed consent
- •Subjects who are able to follow verbal commands
- •A negative urine pregnancy test within 48 hours prior to PET imaging procedures in females of childbearing potential
- •Subjects who are scheduled for a PET/CT study under Mayo Clinic Rochester IRB research protocol 08-005553 (Aim 1 cohort only)
- •A positive 18F-FDG oncology PET/CT exam in the last six months (Aim 2 cohort only)
Exclusion Criteria
- •Patients who are unable to lay still for an additional 15 minutes (for Aim 1 cohort)
- •Patients who are unable to lay still for 90 min for 18F-FDG scans or 100 min for 18F-AV1451 scans (for Aim 2 cohort)
- •Patients who cannot follow the prep instructions
Arms & Interventions
Motion Correction
Aim 1 involves the prospective data collection of 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 (hereafter referred to as the V600-R1) in the PET/CT Molecular Imaging Research Center on Charlton 6 of Mayo Clinic Rochester. The purpose of this arm is to evaluate the effectiveness of motion correction software.
Intervention: Siemens E7 Reconstruction Tool
Parametric Imaging
Aim 2 involves the prospective data collection of subjects undergoing brain or whole body oncologic PET/CT scans on the V600-R1. The purpose of this arm is to evaluate the data acquisition and image processing workflow.
Intervention: 18F-FDG
Parametric Imaging
Aim 2 involves the prospective data collection of subjects undergoing brain or whole body oncologic PET/CT scans on the V600-R1. The purpose of this arm is to evaluate the data acquisition and image processing workflow.
Intervention: 18F-AV1451
Outcomes
Primary Outcomes
Motion Correction
Time Frame: 2 years
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.
Parametric Imaging
Time Frame: 2 years
Metabolic rate of 18F-FDG measured from dynamic PET images. Uptake rate constant Ki in the grey matter of the brain.
Map Reconstruction
Time Frame: 2 years
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.