Shape prior based segmentation for organ deformation correction

This paper presents a real-time framework to achieve accurate deformation compensation using intraoperative ultrasound (US) with preoperative magnetic resonance imaging (MRI). It includes a shape prior based segmentation process and a warping computation. Given two different module templates of a region of interest (ROI), the method can extract the same ROI from new real-time images based on the shape prior model in the level set space. Then the segmentation result and the matching transformation are used to simulate deformation on MR images. Through experimental results, we show that this novel segmentation method can find the shape of ROI accurately. It can provide a good assistance for real-time simulation of organ deformation.