Edward D. Peters

Learn More
Real-time 3D US has potential for image guidance in minimally invasive liver interventions. However, motion caused by patient breathing makes it hard to visualize a localized area, and to maintain alignment with pre-operative information. In this work we develop a fast affine registration framework to compensate in real-time for liver motion/displacement(More)
In this paper we present a rigid registration approach for 4D ultrasound (US) datasets, where images are registered over time. The 3D registration approach preceding the 4D registration consists of two main steps-block-matching and outlier rejection. The outlier rejection step removes the spurious matchings' from the block-matching module and ensures(More)
  • 1