Fibroid Segmentation in Ultrasonic Image for Constructing Statistical Deformation Model from MRI

Segmentation of ultrasonic images is an important step in guide of the intra-operative high intensity focused ultrasound therapy.However,the low signal-to-noise ratio of ultrasonic image makes segmentation result imprecise,which causes the deviation of focus area during surgery.Therefore,an ultrasonic image segmentation method based on MRI prior deformation model is proposed.Firstly,the statistical deformation model and initial segmentation model based on patient-specific are trained respectively from MRI set and ultrasonic image set;then segmentation model is initialized by the partial salient profile of fibroid;finally,the result of segmentation is constrained and optimized by statistical deformation model.Comparing with another segmentation methods,the final result of experiment shows that this method can effectively improve the accuracy and efficiency of the high intensity focus ultrasound therapy.