A closed-loop system for contextually-aware image-quality collection and feedback
A technology of image quality and quality, applied in the fields of medicine and medical reports, which can solve the problems of impossible high-quality interpretation, increasing health care costs, preventing effective values, etc.
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[0021] The following generally relates to a closed loop system that provides an automated mechanism for evaluating images as they are acquired. In this way, the technician or sonographer is alerted if an image is not of sufficient quality and can acquire a new image while the patient is still at the imaging facility.
[0022] To this end, a medical workstation is modified to provide a tool by which an image interpreter can grade the quality of the images being read. Since the image interpreter typically has a heavy workload, the tool should preferably make it simple for the image interpreter to provide feedback - in one embodiment, the image interpreter is asked to choose: "Good", "Fair" ” or “Bad” and images are marked as such. In this way, a training data set is efficiently collected comprising actual medical images graded with respect to image quality by actual image interpreters qualified to perform such grading.
[0023] The training data is used to train a classifier (...
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