A sparse-readout quantitative PET scanner for breast cancer therapy optimization

Paul Kinahan; William Hunter; Kyle Champley; Robert Harrison; Adrienne Lehnert; Peter Muzi; Donald DeWitt; Dongming Hu; Robert Miyaoka; Lawrence MacDonald

doi:10.1117/12.2626724

13 July 2022 A sparse-readout quantitative PET scanner for breast cancer therapy optimization

Paul Kinahan, William Hunter, Kyle Champley, Robert Harrison, Adrienne Lehnert, Peter Muzi, Donald DeWitt, Dongming Hu, Robert Miyaoka, Lawrence MacDonald

Author Affiliations +

Proceedings Volume 12286, 16th International Workshop on Breast Imaging (IWBI2022); 1228608 (2022) https://doi.org/10.1117/12.2626724
Event: Sixteenth International Workshop on Breast Imaging, 2022, Leuven, Belgium

Abstract

Dedicated breast-imaging scanners using radiotracers, e.g., PET scanners (positron emission tomography) have been proposed and evaluated since the late 1980s [1]. These systems trade a reduction in the size of the imaging field of view for improved resolution, and potentially also a lower cost, higher sensitivity, and a smaller form factor. The higher resolution can improve both detection and quantitation of concentrations of radiotracer, although for the latter to be true, tomographic imaging is mandatory. Several commercial dedicated breast PEM (positron emission mammography), PET scanners, and gamma camera systems have been developed and marketed [2].

Citation Download Citation

Paul Kinahan, William Hunter, Kyle Champley, Robert Harrison, Adrienne Lehnert, Peter Muzi, Donald DeWitt, Dongming Hu, Robert Miyaoka, and Lawrence MacDonald "A sparse-readout quantitative PET scanner for breast cancer therapy optimization", Proc. SPIE 12286, 16th International Workshop on Breast Imaging (IWBI2022), 1228608 (13 July 2022); https://doi.org/10.1117/12.2626724

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