WE-C-217BCD-09: Compressed Sensing in PET Imaging with Partial Detector Rings

Medical Physics
SeyyedMajid ValiollahzadehOsama R Mawlawi

Abstract

Investigate the possibility of reducing the number of PET detector elements per ring (introduce gaps) while maintaining image quality by employing compressed sensing techniques. A uniform Ge-68 phantom was imaged on a D-RX PET/CT scanner twice; once with all detectors operational (baseline) and once with 8 equidistant detector blocks turned off (partially sampled [PS], 11% detectors off. The resulting PS sinogram was then decomposed in two different components, each sparsely represented in a specific transform domain. An iterative optimization technique was then used to recover the PS sinogram based on the solution of a combination of underdetermined system of equations and block- coordinated relaxations. In addition, the total variation is minimized for the first component to direct it into a piece-wise smooth model. Finally the two components were summed to obtain the sinogram which was used to compare with the original PS sinogram. Comparison was done only for existing sinogram pixel values. This process was repeated iteratively until a RMS error of 5% or a total of 100 iterations were reached. For each iteration update, the values of the pixels corresponding to the missing detectors were obtained from the previous iteration...Continue Reading

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