The present invention discloses a method of volume-panorama imaging processing, which generates a volume-panorama image by subsequently splicing respective image frames from an image sequence obtained in a real-time way or stored in a medium based upon the fact that the immediately adjacent image frames have the largest correlation. The method comprises the steps of: reading the image sequence, and firstly initializing an aligned image and a spliced image; dividing the i-th image frame F.sub.i into a plurality of sub-regions; calculating a motion vector of the i-t image frame with respect to the aligned image; fitting the motion vector to calculate a transform coefficient; splicing the F.sub.i to the current spliced image based upon the transform coefficient, and updating the aligned image; entering into a self-adaptive selection of a next image frame until the end of the splicing; and outputting the current spliced image as a resultant image. Additionally, when the image F.sub.i is spliced, double-filtering architecture of selecting characteristic points through a filtering and selecting the valid motion vector of the selected characteristic points through the other filtering to reduce an alignment error may be adopted. According to the present invention, the volume-panorama imaging can be done quickly and accurately so that the reliability of images particularly meets a very high requirement of the ultrasonic iatric diagnose.