Abstract: A method for determining a physiological parameter, including: providing a PPG sensor device configured to measure a PPG signal; measuring a PPG signal on the user, the PPG signal containing at least two cardiac cycles; identifying PPG pulses from the PPG signal, each corresponding to a cardiac cycle and having a non-modulated component and a time-modulated component; for each PPG pulse, determining at least one venous-related feature indicative of the contribution of venous pulsatility to the time-modulated component of the PPG pulse; assigning a weighting factor to each pulse including calculating the weighting factor by using a weighting function including a mathematical operator inputted with the set of at least one venous-related feature; computing a weighted-average PPG pulse by using the PPG pulses and their respective weighting factors; and determining the physiological parameter by using the weighted-average PPG pulse.

Abstract: A method improves a detection of a brain tissue pathology in magnetic resonance (MR) images of a patient. The method includes acquiring multiple MR imaging data for creating four different contrast maps of a patient brain. From the multiple MR imaging data, performing an estimation of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) concentration for each voxel of a part of the patient brain. From the multiple MR imaging data, segmenting the part of the patient brain in different regions-of-interest (ROIs) according to a chosen atlas. For each voxel of each of the contrast maps of the patient brain, computing, for the part of the patient brain, a deviation score. The method further includes creating from the deviation score and for each of the quantitative contrast maps, a deviation map representing the part of the brain in dependence on the deviation score calculated for each voxel.

Abstract: A method improves a detection of a brain tissue pathology in magnetic resonance (MR) images of a patient. The method includes acquiring multiple MR imaging data for creating four different contrast maps of a patient brain. From the multiple MR imaging data, performing an estimation of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) concentration for each voxel of a part of the patient brain. From the multiple MR imaging data, segmenting the part of the patient brain in different regions-of-interest (ROIs) according to a chosen atlas. For each voxel of each of the contrast maps of the patient brain, computing, for the part of the patient brain, a deviation score. The method further includes creating from the deviation score and for each of the quantitative contrast maps, a deviation map representing the part of the brain in dependence on the deviation score calculated for each voxel.