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Title

Clinical Assessment of Emission- and Segmentation-Based MR-Guided Attenuation Correction in Whole-Body Time-of-Flight PET/MR Imaging

Authors
Published in The Journal of nuclear medicine. 2015, vol. 56, no. 6, p. 877-883
Abstract The joint maximum-likelihood reconstruction of activity and attenuation (MLAA) for emission-based attenuation correction has regained attention since the advent of time-of-flight PET/MR imaging. Recently, we improved the performance of the MLAA algorithm using an MR imaging-constrained gaussian mixture model (GMM). In this study, we compare the performance of our proposed algorithm with standard 4-class MR-based attenuation correction (MRAC) implemented on commercial systems.
Keywords AlgorithmsBody Mass IndexFluorodeoxyglucose F18/diagnostic useHead and Neck Neoplasms/radionuclide imaging/radiotherapyHumansImage Processing, Computer-AssistedLikelihood FunctionsMagnetic Resonance ImagingMiddle AgedModels, StatisticalMultimodal ImagingNormal DistributionPositron-Emission TomographyRetrospective StudiesTomography, X-Ray ComputedWhole Body Imaging
Identifiers
PMID: 25858043
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Article (Published version) (709 Kb) - public document Free access
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Research group Imagerie Médicale (TEP et TEMP) (542)
Project
Swiss National Science Foundation: 31003A_149957
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(ISO format)
MEHRANIAN, Abolfazl, ZAIDI, Habib. Clinical Assessment of Emission- and Segmentation-Based MR-Guided Attenuation Correction in Whole-Body Time-of-Flight PET/MR Imaging. In: The Journal of nuclear medicine, 2015, vol. 56, n° 6, p. 877-883. doi: 10.2967/jnumed.115.154807 https://archive-ouverte.unige.ch/unige:78743

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Deposited on : 2015-12-17

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