Improving PET Image Quality and Quantification by Using Motion Correction, Parametric Imaging and MAP Reconstruction
Improving PET Image Quality and Quantification by Using Motion Correction, Parametric Imaging and MAP Reconstruction
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.
Inclusion Criteria:
Exclusion Criteria: