Improved PET/MRI attenuation correction in the pelvic region using a statistical decomposition method on T2-weighted images.
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ABSTRACT:
SUBMITTER: Wallsten E
PROVIDER: S-EPMC7683750 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Improved PET/MRI attenuation correction in the pelvic region using a statistical decomposition method on T2-weighted images.
Wallstén Elin E Axelsson Jan J Jonsson Joakim J Karlsson Camilla Thellenberg CT Nyholm Tufve T Larsson Anne A
EJNMMI physics 20201123 1
<h4>Background</h4>Attenuation correction of PET/MRI is a remaining problem for whole-body PET/MRI. The statistical decomposition algorithm (SDA) is a probabilistic atlas-based method that calculates synthetic CTs from T2-weighted MRI scans. In this study, we evaluated the application of SDA for attenuation correction of PET images in the pelvic region.<h4>Materials and method</h4>Twelve patients were retrospectively selected from an ongoing prostate cancer research study. The patients had same- ...[more]
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