Abstract: According to one aspect of an exemplary embodiment of the disclosure, a system and method for providing an indication of the mode of operation of an X-ray imaging system operable in a fixed mode or an automatic optimization of parameter (AOP) mode, and an operational mode indication system including at least one of a visual indicator and an audio indicator. The selection of an operational mode for the X-ray system enables a control processing unit to activate the operational mode indication system in a first manner and in a second manner at least during the operation of the radiation source and the detector to provide an indication of a current mode of operation of the imaging system, wherein the first manner is readily discernable from the second manner.

Abstract: According to one aspect of an exemplary embodiment of the disclosure, a system and method for providing an indication of the mode of operation of an X-ray imaging system operable in a fixed mode or an automatic optimization of parameter (AOP) mode, and an operational mode indication system including at least one of a visual indicator and an audio indicator. The selection of an operational mode for the X-ray system enables a control processing unit to activate the operational mode indication system in a first manner and in a second manner at least during the operation of the radiation source and the detector to provide an indication of a current mode of operation of the imaging system, wherein the first manner is readily discernable from the second manner.

Abstract: The current disclosure provides methods and systems for rapidly and consistently determining medical image quality metrics following acquisition of a diagnostic medical image. In one embodiment, the current disclosure teaches a method for determining an image quality metric by, acquiring a medical image of an anatomical region, mapping the medical image to a positional attribute of an anatomical feature using a trained deep neural network, determining an image quality metric based on the positional attribute of the anatomical feature, determining if the image quality metric satisfies an image quality criterion, and displaying the medical image, the image quality metric, and a status of the image quality criterion via a display device. In this way, a diagnostic scanning procedure may be expedited by providing technicians with real-time insight into quantitative image quality metrics.

Abstract: The current disclosure provides methods and systems for rapidly and consistently determining medical image quality metrics following acquisition of a diagnostic medical image. In one embodiment, the current disclosure teaches a method for determining an image quality metric by, acquiring a medical image of an anatomical region, mapping the medical image to a positional attribute of an anatomical feature using a trained deep neural network, determining an image quality metric based on the positional attribute of the anatomical feature, determining if the image quality metric satisfies an image quality criterion, and displaying the medical image, the image quality metric, and a status of the image quality criterion via a display device. In this way, a diagnostic scanning procedure may be expedited by providing technicians with real-time insight into quantitative image quality metrics.