The invention relates to the technical field of
image processing, in particular to a method for evaluating the
renal function of a nephrotic patient through
diffusion tensor imaging. The method comprises the following steps: acquiring a
kidney diffusion tensor original image through
single excitation echo plane imaging; adjacent comparison is carried out on each pixel point, and a
signal intensity difference and a
gradient direction difference are extracted; judging local
geometric distortion according to the difference information, and carrying out correction
processing pixel by pixel to obtain a corrected high-quality
diffusion tensor image; and finally, calculating a fitting tensor, extracting diffusion parameters of the
renal cortex and the renal medullary region, quantitatively comparing the diffusion parameters with preset
renal function indexes, and outputting an objective
quantitative result of the
renal function of the patient. According to the method, through pixel-by-pixel
distortion correction and direction
feature extraction, the precision of the diffusion tensor image and the accuracy of
kidney region division are improved, and objective quantitative analysis of
kidney functions is realized.