Prostate Ultrasound Image Segmentation Algorithm Based on Wavelet Transform

Because of the quality of the prostate ultrasound image, it is very difficult to define boundary of prostate. In order to get an accurate estimate result, a segmentation algorithm based on wavelet transform is designed. Using the dyadic wavelet transform, approximate coefficients and detailed coefficients at different scales can be generated and they determine the energy field. Then the energy field drives the discrete dynamic contour (DDC) model and the final contour is attained. Experiment proved that this algorithm can efficiently segment prostate ultrasound image well.