Regularized ML reconstruction for time/dose reduction in ¹⁸F-fluoride PET/CT studies

We are proposing a regularized reconstruction strategy for the detection of bone lesions in ¹⁸F-fluoride whole body PET images obtained with 1 min/bed using the anatomical information provided by co-registered CT images. Bones are recognized on CT images and then transposed into the PET volume framework. During PET reconstruction, two different priors are used for bone and non-bone voxels: the relative difference prior in bone and the P-Gaussian prior in non-bone. After a tuning of the priors' parameters, the reconstruction strategy has been tested on 6 ¹⁸F-fluoride PET/CT studies, on a total of 67 lesions. Regularized images provided results comparable to the standard 3 min/bed images, in terms image quality, lesion activity, noise level and noise correlation. The proposed strategy therefore appears to be a useful tool to reduce the acquisition time or the injected dose in ¹⁸F-fluoride PET studies. (paper)