Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors
We propose a multi-phase variational segmentation framework. We combine shape priors and parametric intensity distribution modeling. We use an age specific back model to improve results. A parameters sensitivity study is performed. Results are compared to manual segmentations and to inter-expert variability.
3d ultrasound obstetric imaging multi-phase level-set segmentation anatomical models statistical shape priors