Direct surface extraction from 3D freehand ultrasound images

  • Authors:
  • Youwei Zhang;Robert Rohling;Dinesh K. Pai

  • Affiliations:
  • The University of British Columbia, Vancouver BC, Canada;The University of British Columbia, Vancouver BC, Canada;The University of British Columbia, Vancouver BC, Canada

  • Venue:
  • Proceedings of the conference on Visualization '02
  • Year:
  • 2002

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Abstract

This paper presents a new technique for the extraction of surfaces from 3D ultrasound data. Surface extraction from ultrasound data is challenging for a number of reasons including noise and artifacts in the images and non-uniform data sampling. A method is proposed to fit an approximating radial basis function to the group of data samples. An explicit surface is then obtained by iso-surfacing the function. In most previous 3D ultrasound research, a pre-processing step is taken to interpolate the data into a regular voxel array and a corresponding loss of resolution. We are the first to represent the set of semi-structured ultrasound pixel data as a single function. From this we were able to extract surfaces without first reconstructing the irregularly spaced pixels into a regular 3D voxel array.