1. A method for determining optimized imaging parameters for imaging a patient, comprising: learning a model of a relationship between known imaging parameters and a quality measure, the known imaging parameters and the quality measure being determined from training data, wherein the quality measure is based on a signal-to-noise ratio (SNR) determined as a ratio between an average intensity value of pixels in a first region of interest in a target structure in an image and an average intensity value of pixels in a second region of interest outside of the target structure in the image; determining optimized imaging parameters by optimizing the quality measure using the learned model, the optimized imaging parameters comprising parameters of an image acquisition device and patient parameters for imaging the patient, the optimized imaging parameters being constrained to be within a range of the known imaging parameters; and acquiring images of the patient using the image acquisition device based on the optimized imaging parameters.