A method for determining a personalized cardiac model, characterized in that it comprises steps of: - acquiring, with a Magnetic Resonance Imaging device, and processing of a Real-Time Phase Contrast (RTPC) signal sequence data in a scan plane with a spatial orientation normal to a direction of flow of the blood, said RTPC sequence being based on a phase contrast MRI sequence where only the central k-space line is acquired, - computing a velocity time profile of a blood flow across a selected area of the heart or the aorta during at least one cardiac cycle, using the RTPC signal sequence data acquired with the Magnetic Resonance Imaging device, - performing a segmentation of said velocity time profile so as to identify cardiac phases according to a predefined generic cardiac model, by - computing a 1D+t velocity map with one spatial axis and one time axis by applying to the RTPC signal sequence unidimensional Fourier transforms along the frequency encoding direction, - carrying out a Singular Value Decomposition on the 1D+t velocity map, - with a threshold algorithm applied on the spatial weighting returned by the SVD, identifying in the 1D+t velocity map a set of regions of interest of contiguous pixels for one or several of the first principal components issued from the SVD decomposition, - computing a time location and/or a duration of said cardiac phases within cardiac cycles so as to define a personalized cardiac model. - acquiring, with a Magnetic Resonance Imaging device, and processing of a Real-Time Phase Contrast (RTPC) signal sequence data in a scan plane with a spatial orientation normal to a direction of flow of the blood, said RTPC sequence being based on a phase contrast MRI sequence where only the central k-space line is acquired, - computing a velocity time profile of a blood flow across a selected area of the heart or the aorta during at least one cardiac cycle, using the RTPC signal sequence data acquired with the Magnetic Resonance Imaging device, - performing a segmentation of said velocity time profile so as to identify cardiac phases according to a predefined generic cardiac model, by - computing a 1D+t velocity map with one spatial axis and one time axis by applying to the RTPC signal sequence unidimensional Fourier transforms along the frequency encoding direction, - carrying out a Singular Value Decomposition on the 1D+t velocity map, - with a threshold algorithm applied on the spatial weighting returned by the SVD, identifying in the 1D+t velocity map a set of regions of interest of contiguous pixels for one or several of the first principal components issued from the SVD decomposition, - computing a 1D+t velocity map with one spatial axis and one time axis by applying to the RTPC signal sequence unidimensional Fourier transforms along the frequency encoding direction, - carrying out a Singular Value Decomposition on the 1D+t velocity map, - with a threshold algorithm applied on the spatial weighting returned by the SVD, identifying in the 1D+t velocity map a set of regions of interest of contiguous pixels for one or several of the first principal components issued from the SVD decomposition, - computing a time location and/or a duration of said cardiac phases within cardiac cycles so as to define a personalized cardiac model.