Speckle suppression and contrast enhancement in reconstruction of freehand 3D ultrasound images using an adaptive distance-weighted method

Qinghua Huang, Minhua Lu, Yongping Zheng, Zheru Chi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


In three-dimensional (3D) freehand ultrasound (US), reconstructing a set of B-scans into a regular voxel array is the key procedure for consequent visualization and analysis. This paper presents a new adaptive interpolation algorithm for computing the voxel array to suppress speckle noises and enhance contrast. The local statistics of homogeneous regions including mean and variance were measured and the ratio of variance to mean was used as homogeneity criteria. For the computation of each voxel, the interpolation method was adaptively determined with respect to its local statistics. If the neighbouring pixels of a voxel satisfied the homogeneity criterion, its value was computed with an arithmetic mean filter. Otherwise, the voxel was probably locating in an inhomogeneous region and an adaptive distance-weighted (ADW) interpolation method was employed to compute its value. A resolution phantom and a subject's forearm were reconstructed using the proposed algorithm and two other well-known methods - conventional distance-weighted (DW) and voxel nearest neighbourhood (VNN) interpolations. The comparison results demonstrated that the adaptive interpolation algorithm was able to suppress speckles, preserve edges and enhance contrast effectively for the volume reconstruction.
Original languageEnglish
Pages (from-to)21-30
Number of pages10
JournalApplied Acoustics
Issue number1
Publication statusPublished - 1 Jan 2009


  • 3D ultrasound
  • Adaptive distance-weighted interpolation
  • Contrast enhancement
  • Speckle suppression
  • Volume reconstruction

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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