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In time-of-flight (TOF) positron emission tomography (PET) imaging, it is possible to correct for attenuation using only the TOF-PET data. Currently two main iterative algorithms exist for this purpose: MLAA [1] and MLACF [2]. In addition to reconstructing the activity image A, MLAA reconstructs the attenuation map μ, whereas MLACF reconstructs the attenuation correction factors a. While implementing...
In this work, we propose a plane-dependent maximum likelihood (ML) scatter scale estimation from the emission measurements. The scatter scales obtained are validated using a Monte Carlo simulation of a NEMA-like phantom, and results are shown from two whole-body patient scans.
In positron emission tomography a scatter estimate is calculated prior to image reconstruction and is then added at each MLEM iteration to the estimated true counts to yield the estimated prompts. The absolute scale of the scatter is usually estimated by matching the scatter estimate to the data for those lines of response that do not intersect the patient. The goal of this work is to explore alternatives...
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