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Clinical Assessment of Emission- and Segmentation-Based MR-Guided Attenuation Correction in Whole-Body Time-of-Flight PET/MR Imaging |
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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 | Algorithms — Body Mass Index — Fluorodeoxyglucose F18/diagnostic use — Head and Neck Neoplasms/radionuclide imaging/radiotherapy — Humans — Image Processing, Computer-Assisted — Likelihood Functions — Magnetic Resonance Imaging — Middle Aged — Models, Statistical — Multimodal Imaging — Normal Distribution — Positron-Emission Tomography — Retrospective Studies — Tomography, X-Ray Computed — Whole Body Imaging | |
Identifiers | PMID: 25858043 | |
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Research group | Imagerie Médicale (TEP et TEMP) (542) | |
Project | Swiss National Science Foundation: 31003A_149957 | |
Citation (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 |