The application relates to the technical field of sports medical
image processing, and discloses a long-
distance running crowd
ankle joint injury early warning method fusing MRI and running postures, which comprises the following steps: constructing a personalized pore charge two-parameter
cartilage model based on an MRI sequence; acquiring a double-state
gait mechanics parameter set and calculating a compensation transfer
tensor; extracting a representative
volume unit to construct a micro-response surface proxy model; performing double-closed-loop evolution
simulation by using the micro-response surface proxy model and the compensation transfer
tensor, and outputting a long-range evolution trajectory matrix; and solving a fluid support rate attenuation evolution sequence, positioning a stress fracture high-risk
spatial positioning point, and outputting a three-dimensional
risk distribution cloud diagram. The application solves the force consumption by transforming a
partial differential equation by using a proxy model, combines a double-closed-
loop control mechanism of micro-fluid evolution and
macro-
gait compensation, eliminates stress
divergence defects caused by
constant load input, and improves the prediction accuracy of the stress fracture
spatial positioning point.