Simon Marache-Francisco

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An efficient simulation tool is developed to generate realistic X-ray CT images, including a good modeling of physics and a very detailed anthropomorphic model in a reasonable computing time. This simulation tool consists in a coupling of the existing X-ray radiographic simulation software SINDBAD with the extended NURBS-Based Cardiac-Torso (XCAT) phantom.(More)
Positron emission tomography (PET) using fluorine-18 deoxyglucose (18F-FDG) has become an increasingly recommended tool in clinical whole-body oncology imaging for the detection, diagnosis, and follow-up of many cancers. One way to improve the diagnostic utility of PET oncology imaging is to assist physicians facing difficult cases of residual or(More)
Positron Emission Tomography (PET) using fluorine-18-deoxyglucose (FDG) has become an increasingly recommended tool in clinical whole-body oncology imaging for detection, diagnosis and follow up of many cancers. One way to improve the diagnostic utility of PET oncology imaging is to assist the physicians facing the difficult cases of residual or low(More)
The purpose of this study was to generate a series of simulated 18F-FDG PET oncology images incorporating variability of patient anatomy and 18F-FDG uptake in the main organs as well as realistic respiratory motion. These data are based on the XCAT model adapted to a series of clinical CT data and on patient respiratory cycles derived from spirometry(More)
Partial volume effects (PVEs) are well-known consequences of the limited spatial resolution in emission tomography which can affect the quality of PET oncology images both qualitatively and quantitatively and thus impact the diagnostic task. There exists a wide variety of PVE correction methods but they are not all well suited to oncology images. In an(More)
Respiratory motion in Positron Emission Tomography leads to reduced image quality, influencing this way the quantitative accuracy of PET measurements, as shown in numerous studies. However, only few results have been published on its impact on lesion detection. This study intends to evaluate the impact of motion correction on the detection of small lesions(More)
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