Shape Prior based Segmentation for Organ Deformation Correction (WA-P1)

Author(s) : Jun Xie (Electronic Engineering Department, The Chinese University of Hong Kong, Hong Kong) H.T. Tsui (Electronic Engineering Department, The Chinese University of Hong Kong, Hong Kong) Lam Wai-Man (Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong)

Abstract : This paper presents an real-time framework to achieve accurate deformation compensation using intra-operative Ultrasound (US) with pre-operative 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 completely and quickly and it provides a great assistance for real-time simulation of organ deformation based on intra-operative US images.

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