Estimation of the endometrium in ultrasound images using a recursive model

The features of the endometrium are considered as the most important factors in infertility treatment. The paper presents a new approach for estimating the endometrium based on a multiple threshold technique and a general mathematical method. The approach exploits gray level information to organize and constrain the interpretation of the motion object by a recursive model. The recursive model is employed for threshold optimization of motion information segmentation. This is implemented by repeatedly shrinking the dimension of the maximum potential range of motion with an adaptive threshold through the whole process. The estimated values comprise motion frequency and thickness; the former is determined by change detection of the pixel value in a sequence of images during a given time period, and the latter is the result of the motion object's dimension divided by its extended length. Experimental results indicate that with the proposed algorithm if is possible to accurately estimate the thickness and motion frequency of the endometrium.