A closed-loop system for contextually-aware image-quality collection and feedback

Abstract

A medical imaging apparatus includes a radiology workstation (10) with a workstation display (14) and one or more workstation user input devices (16). A medical imaging device controller (26) includesa controller display (30) and one or more controller user input devices (32). The medical imaging device controller is connected to control a medical imaging device (40) to acquire medical images (44). One or more electronic processors (22, 38) are programmed to: operate the medical workstation to provide a graphical user interface (GUI) (24) that displays medical images stored in a radiology information system (RIS) (20), receives entry of medical examination reports, displays an image rating user dialog (70), and receives, via the image rating user dialog, image quality ratings for medicalimages displayed at the medical workstation; operate the medical imaging device controller to perform an imaging examination session including operating the medical imaging device controller to control the medical imaging device to acquire session medical images; while performing the imaging examination session, assign quality ratings to the session medical images based on image quality ratings received via the image quality rating user dialog displayed at the medical workstation; and while performing the imaging examination session, display quality ratings assigned to the session medical images.

Description

technical field [0001] The following relates to the field of medicine, the field of medical acquisition, the field of medical reporting, and related fields. Background technique [0002] Medical imaging is typically performed in two phases: image acquisition and image interpretation. Acquisitions are performed by technicians (or sonographers for ultrasound) who are technically trained but generally unqualified to perform medical diagnosis based on images. The image interpreter, oncologist or other medical specialist usually performs the medical diagnosis at a later time (the next day or even days after the image acquisition). Consequently, the technician or sonographer sometimes acquires images that prove to be diagnostically sub-optimal or even non-diagnostic (ie, the image interpreter is unable to draw a diagnostic conclusion based on the image acquisition flaw). [0003] There is increasing emphasis on reducing healthcare costs, including medical imaging. Accordingly, ...

AI Technical Summary

Problems solved by technology

Low-quality image acquisition makes high-quality interpretation impossible and prevents valid values, adding to the nursing process and increasing healthcare costs

Additionally, low-quality image interpretation may require repeated imaging, which may require the patient to return to the hospital and delayed interpretation

Images