Volume reconstruction from sparse 3D ultrasonography

Abstract

3D freehand ultrasound has extensive application for organ volume measurement and has been shown to have better reproducibility than estimates of volume made from 2D measurement followed by interpolation to 3D. One key advantage of free-hand ultrasound is that of image compounding, but this advantage is lost in many automated reconstruction systems. A novel method is presented for the automated segmentation and surface reconstruction of organs from sparse 3D ultrasound data. Preliminary results are demonstrated for simulated data, and two cases of in-vivo data; breast ultrasound and imaging of ovarian follicles.