Quantitative evaluation of PSMA PET imaging using a realistic anthropomorphic phantom and shell-less radioactive epoxy lesions.
Roberto FedrigoDan J KadrmasPatricia E EdemLauren FougnerIvan S KlyuzhinM Peter PetricFrançois BénardArman RahmimCarlos Felipe UribePublished in: EJNMMI physics (2022)
, was proposed for robust, accurate, and segmentation-free quantitation of lesions for PSMA PET.
Keyphrases
- pet imaging
- positron emission tomography
- high resolution
- pet ct
- deep learning
- ms ms
- mass spectrometry
- convolutional neural network
- liquid chromatography tandem mass spectrometry
- computed tomography
- liquid chromatography
- high performance liquid chromatography
- machine learning
- image quality
- solid phase extraction
- magnetic resonance
- monte carlo
- contrast enhanced