Sébastien Brousmiche

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PURPOSE This study assesses the potential use of CBCT images in adaptive protontherapy by estimating the contribution of the main sources of noise and calibration errors to the proton range uncertainty. METHODS Measurements intended to highlight each particular source have been achieved by adapting either the testbench configuration, e.g. use of(More)
PURPOSE The aim of this work is to propose a general and simple procedure for the calibration and validation of kilo-voltage cone-beam CT (kV CBCT) models against experimental data. METHODS The calibration and validation of the CT model is a two-step procedure: the source model then the detector model. The source is described by the direction dependent(More)
The relative stopping power (RSP) uncertainty is the largest contributor to the range uncertainty in proton therapy. The purpose of this work was to develop a systematic method that yields accurate and patient-specific RSPs by combining (1) pre-treatment x-ray CT and (2) daily proton radiography of the patient. The method was formulated as a penalized least(More)
Among the great number of biomedical signals considered in the polysomnographic analysis , electroencephalogram signals take a dominating place. Their analysis is essential to carry out a complete and precise classification into sleep stages. However, these signals remain difficult to analyze. First, they are composed of a multitude of rhythms from the(More)
Multiple Coulomb scattering (MCS) is the largest contributor to blurring in proton imaging. In this work, we developed a maximum likelihood least squares estimator that improves proton radiography's spatial resolution. The water equivalent thickness (WET) through projections defined from the source to the detector pixels were estimated such that they(More)
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