A method for performing a feedback-based quality assessment for a medical image acquired by a medical imaging device comprised in a medical imaging system, the method comprising: selecting, by a user, a reference image from a plurality of reference images, each of the plurality of reference images being stored in association with a set of acquisition parameters which has been used to acquire the respective reference image, wherein each of the plurality of reference images is previously selected as being representative of a desired level of image quality for a particular type of medical image; characterized in that the following steps are carried out: configuring the medical imaging device by the set of acquisition parameters stored in association with the selected reference image for acquiring the medical image so that the medical imaging device is configured by a same configuration that was used to acquire the selected reference image, wherein the set of acquisition parameters comprises at least one of a repetition time, an echo time, a number of signal averages, a slice thickness, an acquisition plane and a field of view to be applied to the medical imaging device for acquiring the medical image; acquiring the medical image by the medical imaging device, wherein acquiring the medical image is performed as part of an examination of a patient; determining a level of image quality for the acquired medical image using an assessment component comprised in the medical imaging system and configured to assess image quality levels based on feedback of physicians on image quality levels of previously acquired medical images collected for the previously acquired medical images; and repeating acquiring the medical image by the medical imaging device with a different configuration within the examination without the patient leaving the medical imaging device when the determined level of image quality does not exceed a predetermined threshold, wherein acquiring the medical image is performed repeatedly until the determined level of image quality exceeds the predetermined threshold, and transmitting the acquired medical image to a workstation of a physician for review by the physician working from a remote location when the determined level of image quality exceeds the predetermined threshold, wherein the assessment component comprises a machine learning module trained to predict a satisfaction level of a physician or a group of physicians based on the feedback of physicians on image quality levels of previously acquired medical images collected for the previously acquired medical images, wherein the method comprises collecting feedback on the image quality level of the acquired medical image from the physician and using the collected feedback for training the machine learning module, wherein the method further comprises using the collected feedback for selecting reference images representative of desired image quality levels for particular types of medical images. configuring the medical imaging device by the set of acquisition parameters stored in association with the selected reference image for acquiring the medical image so that the medical imaging device is configured by a same configuration that was used to acquire the selected reference image, wherein the set of acquisition parameters comprises at least one of a repetition time, an echo time, a number of signal averages, a slice thickness, an acquisition plane and a field of view to be applied to the medical imaging device for acquiring the medical image; acquiring the medical image by the medical imaging device, wherein acquiring the medical image is performed as part of an examination of a patient; determining a level of image quality for the acquired medical image using an assessment component comprised in the medical imaging system and configured to assess image quality levels based on feedback of physicians on image quality levels of previously acquired medical images collected for the previously acquired medical images; and repeating acquiring the medical image by the medical imaging device with a different configuration within the examination without the patient leaving the medical imaging device when the determined level of image quality does not exceed a predetermined threshold, wherein acquiring the medical image is performed repeatedly until the determined level of image quality exceeds the predetermined threshold, and transmitting the acquired medical image to a workstation of a physician for review by the physician working from a remote location when the determined level of image quality exceeds the predetermined threshold, wherein the assessment component comprises a machine learning module trained to predict a satisfaction level of a physician or a group of physicians based on the feedback of physicians on image quality levels of previously acquired medical images collected for the previously acquired medical images, wherein the method comprises collecting feedback on the image quality level of the acquired medical image from the physician and using the collected feedback for training the machine learning module, wherein the method further comprises using the collected feedback for selecting reference images representative of desired image quality levels for particular types of medical images.