Objective To research a dynamic image measurement approach to aortic arch. Methods A dynamic tracing approach to aortic arch edge based on normal feature matching is presented. The edge of the first frame-image is detected by means of manual points selecting and curve fitting to overcome the shortcoming of incontinuous edge resulted from threshold image segmentation . Then a method based on normal feature matching is applied to detect the edge of sequential image of aortic arch. The smooth edge curve can be obtained by the proposed approach and realize the dynamic tracing of sequential image of aortic arch. Results The movement and deformation parameters of aortic arch are precisely measured by the proposed approach. Conclusion The study showed that the image measuring techniques could give quantitative analysis for the movement and deformation rule of the aortic arch in vivo successfully and provided a favorable base for finite element analysis of aortic arch.