Palaci, Ismaël

The invention relates to a system (200) and a method (100) for imaging a part of a biological object (210), the method (100) comprising:- selecting (101) a reduced Image Acquisition Protocol, hereafter "IAP", for imaging said part of the biological object (210), wherein said reduced IAP has been obtained from a rich IAP by sub-sampling a set of imaging parameters of said rich IAP, wherein said set of imaging parameters are designed to control an acquisition of images by means of an imaging apparatus (220);- using (102) said reduced IAP for acquiring one or several images of said part of the biological object (210);- inputting (103) said one or several images into a trained Machine Learning, hereafter "ML", model that is configured for outputting, for each inputted image, one or several predicted images of said part of the biological object (210), wherein the ML model has been trained on input training data and output training data, wherein the input training data correspond to a first set of images obtained via said reduced IAP, and the output training data correspond to a corresponding second set of images obtained via said rich IAP;- providing (104), via an interface (202), said one or several predicted images.

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The invention relates to a system (200) and method (100) for evaluating a longitudinal evolution of a quantitative biomarker measured for a biological object (210), the method (100) comprising: - receiving (101), for said biological object (210), longitudinal measurements of said quantitative biomarker, wherein N measurements M_1,...,M_N are received, wherein each measurement M_i, with i = 1,...,N, is performed at a timepoint T_i according to an acquisition technique A_i, wherein if i ≠ j, then T_i ≠ T_j ∀i,j ∈ {1,...,N}, wherein for each measurement M_i, a value V_i is obtained for said biomarker; - calculating (102), for each measurement M_i, a statistical parameter, which characterizes a variability of the used acquisition technique A_i, said statistical parameter being a measure of a statistical distribution of possible values for the biomarker when carrying out the measurement M_i according to said acquisition technique; - for each obtained biomarker value V_i, using the calculated statistical parameter for generating (103) synthetic data whose distribution follows the statistical distribution of possible values for the biomarker, wherein each synthetic data represents a simulated value for said biomarker and is assigned the timepoint T_i at which the measurement M_i was performed; - performing (104) several bootstrapping rounds, wherein, for each bootstrapping, one or several values among the measured value V_i and the biomarker simulated values generated for said measured value V_i are randomly sampled for each timepoint T_i; - for each bootstrapping, fitting (105) the sampled values by means of a fitting function; - for each fitting, extracting (106) a fitting parameter of the fitting function; - evaluating (107) the longitudinal evolution of the quantitative biomarker by statistically comparing the extracted fitting parameters against a reference value.

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