MULTI-PARAMETER MODEL GUIDED-METHOD FOR ITERATIVELY EXTRACTING MOVEMENT PARAMETER OF ANGIOGRAPHY IMAGE OF BLOOD VESSEL

摘要

Disclosed is a multi-parameter model guided-method for iteratively extracting a movement parameter of an angiography image of a blood vessel. The method comprises: automatically selecting I structural characteristic points of a blood vessel from a medical image of a radiography image sequence, and separately and automatically tracking the characteristic points in the whole radiography image sequence so as to obtain a tracking sequence of each characteristic point; processing the tracking sequence of each characteristic point by using a discrete Fourier transform, so as to generate a discrete Fourier transform result S_i(k); initializing an iterative parameter j to 0, acquiring an amplitude and a frequency scope of each frequency point in the discrete Fourier transform result S_i(k), and performing the Fourier transform on the tracking sequence of the frequency point in the amplitude and the frequency scope of each frequency point so as to obtain a Fourier transform resu and performing an inverse Fourier transform on the obtained Fourier transform result, and acquiring an estimated minimum mean square error of the frequency point. The technical problems existing in an existing method can be solved that a translational movement cannot be automatically extracted, and movements of breathing, the heart and the like cannot be accurately separated.