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MRI information can be used to improve PET images by using Maximum A Posteriori (MAP) reconstruction algorithms. The aim of this study is to assess the influence of MRI image quality using two different methods to incorporate MRI information: boundaries and Bowsher. MRI data are simulated with different artifacts: noise and intensity inhomogeneity (IIH). PET data are also simulated to assess the performance...
In this paper, a Maximum a Posteriori Reconstruction algorithm is applied for the first time to the Siemens 3TMR BrainPET scanner. The implementation of this algorithm is done in the PET REconstruction Software TOolkit. This software is able to cope with 3D PET listmode data and can deal with the specificities of the Siemens 3TMR BrainPET scanner. Simulated data was used to assess the performance...
Respiratory motion is one source of degradation in PET images. Respiration leads to reduced contrast and quantitative accuracy in terms of recovered activity concentration and functional volumes, as a result of the associated image blurring. Consequently, the motion of lungs hindering the localization, detection, and the quantification of tracer uptake in lung lesions. Our long term goal is to study...
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