The invention relates to the technical field of medical
image processing, in particular to a
kidney ultrasonic image-based
fibrosis quantitative evaluation method and
system, and the method comprises the steps: obtaining an ultrasonic image, carrying out the
standardization processing, and estimating a
system response correction function and an
optical flow field; selecting a
key frame based on an
optical flow field, performing registration and constructing
pose map optimization, fusing a envelope to establish mapping between a cortical conformal coordinate
system and a
key frame pixel, and generating a cortical region probability field and a boundary uncertainty field; calculating a sound
attenuation coefficient and a scattering statistical parameter in the sliding analysis window, correcting the sound
attenuation coefficient and the scattering statistical parameter, projecting the sound
attenuation coefficient and the scattering statistical parameter to a conformal coordinate system, carrying out Wasserstein
gravity center fusion according to probability and uncertainty weighting, detecting the effective thickness of the cortex, and carrying out
consensus optimization to obtain a
fibrosis fraction field and a
consensus residual field; and generating a non-consistency total
score, outputting a
confidence interval and a confidence level through conformal prediction calibration, and generating a fallback recalculation or re-collection instruction if necessary. The cross-view, cross-time and cross-equipment consistency is improved, and the closed-loop
quality control capability is achieved.