The invention relates to the technical field of medical
image analysis, in particular to a dynamic DR
digestive tract radiography automatic tracking and focus marking
system which comprises a dynamic DR imaging module, an image real-
time processing module, a contrast agent motion tracking module and a focus intelligent marking module. A
deep learning algorithm is utilized to segment a contrast agent flowing area in real time and construct a dynamic three-dimensional model of a
digestive tract, a contrast agent movement track is analyzed and tracked in combination with time-space domain features, and meanwhile, based on morphological
anomaly detection and comparison with a focus feature
library, focus positions such as
stenosis, ulcers and space-occupying lesions are automatically marked; the problems of image blurring and tracking offset caused by alimentary canal
peristalsis are solved by adopting a self-adaptive registration optimization
algorithm of dynamic DR images and motion characteristics of alimentary canal contrast agents; by means of the method, the problems that traditional
digestive tract radiography depends on
manual interpretation of dynamic DR images, the focus tracking efficiency is low, and marking is prone to omission are solved.