The invention discloses a female
pelvic floor multi-target curve medical image collaborative registration and alignment method, which comprises the steps of S1, marking a target curve, an SCIPP line and a segmentation mark point in each piece of sample data; s2, performing dimension reduction on the three-dimensional medical data to two-dimensional medical data by adopting a dimension reduction method combining Y-Z plane projection with X-coordinate dynamic compensation; s3, the curve is smoothed through cubic spline interpolation before registration, and the influence of
original data noise on registration precision is avoided; s4, calculating a translation matrix based on the reference point symphysis pubis inferior margin of the SCIPP line, and moving the first reference point symphysis pubis inferior margin to the original point; s5, taking the SCIPP line as a
reference vector, and calculating a
rotation matrix by using a difference value between the
reference vector and the
target angle; s6, applying corresponding translation and rotation matrixes to the corresponding sample curve data, and establishing a unified coordinate
system; s7, calculating average values of the curves in a segmented manner according to the mark points, and combining the average values calculated in the segmented manner into an average value of the whole curve; and S8, calculating the
center of mass, the local
center of mass and the global
center of mass of each curve, and translating the center of
mass of the corresponding curve to coincide with the local center of
mass and the global center of
mass of the corresponding curve to realize alignment. According to the method, standardized registration, two-dimensional alignment and
dissection segmentation average analysis of female
pelvic floor organ profile curve data are realized, and an accurate quantitative basis is provided for urinary
surgery disease diagnosis and
clinical research.