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Image fusion of ultrasound tomography based on nonsubsampled contourlet transform and image segmentation

  • Liyong Ma*
  • , Guoyao Wu
  • , Naizhang Feng
  • *Corresponding author for this work
  • School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years there has been considerable interest in ultrasound tomography imaging technology for breast cancer diagnosis. Transmission image and reflective image can be reconstructed in ultrasound tomography. Clear tissue reflective interface can be provided in reflective images and distinguished inner information of the tissue can be provided in transmission images. A nonsubsampled contourlet transform and image segmentation based image fusion approach is presented for ultrasound tomography using transmission image and reflective image. The experiments demonstrate that a fused result image with clear tissue reflective interface and enough tissue inner information can be obtained employing the proposed image fusion approach. The experiments using some image fusion metrics to assess the performance of fusion approaches show that the proposed fusion approach can provide best fusion performance for ultrasound tomography than other commonly used fusion approaches.

Original languageEnglish
Pages (from-to)277-283
Number of pages7
JournalJournal of Convergence Information Technology
Volume6
Issue number10
DOIs
StatePublished - Oct 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Image Fusion
  • Nonsubsampled Contourlet Transform
  • Ultrasound Tomography

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