Quantitative and Qualitative Improvement of Low-Count [68Ga]Citrate and [90Y]Microspheres PET Image Reconstructions Using Block Sequential Regularized Expectation Maximization Algorithm.

Youngho SeoMohammad Mehdi KhalighiKristen A WangerinTimothy W DellerYung-Hua WangSalma JivanMaureen P KohiRahul AggarwalRobert R FlavellSpencer C BehrMichael J Evans

Published in: Molecular imaging and biology (2021)

Our investigation shows that the TOF-BSREM algorithm improves the image quality and quantitative accuracy in low-count PET imaging scenarios. However, the beta value in this algorithm needed to be adjusted for each radiopharmaceutical and counting statistics at the time of scans.

Keyphrases

pet imaging
image quality
deep learning
computed tomography
machine learning
positron emission tomography
pet ct
high resolution
dual energy
neural network
climate change
mass spectrometry
peripheral blood
ms ms
systematic review