Method for obtaining an indication about the image quality of a digital image

A method of providing an indication about diagnostic image content quality of an acquired digital X-ray medical diagnostic image during an X-ray radiography acquisition workflow, as interpreted or evaluated by an experienced radiologist, said indication being dependent on body part information and view position information associated with said diagnostic image, the method comprising the steps of:

• accessing said diagnostic image at a computing device,
• obtaining body part information and view position information for said diagnostic image,
• extracting multi-resolution features of various scale levels from said diagnostic image by a trained deep learning backbone network that comprises multi-resolution convolutional layers,
• providing said multi-resolution features of various scale levels from said diagnostic image and said body part and view position information as input for a trained feature combination network, and
• obtaining said indication about diagnostic image content quality as an output result of an image quality head of said trained feature combination network,
• wherein said backbone network and feature combination network are trained simultaneously,
• wherein the diagnostic image content quality indication is given by the image quality head as a score of each image content criteria acceptance level,
• wherein the diagnostic image content quality includes an assessment of anatomical structure alignment in the X-ray medical diagnostic image, and
• wherein the X-ray radiography acquisition workflow consists of a time during which a patient is in a radiology room.