The invention relates to the technical field of medical
image analysis, in particular to a left ventricular compliance assessment method and
system based on medical image.The method comprises the following steps that a planar three-dimensional coordinate from a left ventricular apex to a
mitral annulus is obtained through a CT image, a thin-plate spline interpolation
algorithm is called to establish a left ventricular long-axis model, the ultrasonic end-stage internal
diameter is obtained synchronously, and a left ventricular compliance assessment result is obtained. And inputting the left
greenhouse long axis model and the ultrasonic
diastole end-stage inner
diameter into an
Euclidean distance calculation function to generate a left
greenhouse length-
diameter ratio. According to the method, a left
greenhouse long axis model is constructed by integrating CT three-dimensional coordinates and ultrasonic inner diameter, the length-
diameter ratio is calculated by combining
Euclidean distance,
point cloud registration is carried out, a myocardial wall area is segmented, local deformation is quantized by utilizing
Gaussian curvature gradient, a correction factor is generated by inputting a
radial basis function network, and a parameter
coupling mechanism is established by fusing an
aorta root angle. And optimizing the weight of the pressure-volume equation, establishing a dynamic model, and realizing a quantitative
evaluation system of
spatial heterogeneity and time continuity.