Artifact removal and texture-based rendering for visualization of 3D fetal ultrasound images

Shyh Roei Wang, Yung-Nien Sun, Fong Ming Chang

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Convenient and non-invasive ultrasonography has become an essential tool for diagnosing fetal abnormalities. However, the noisy and blurry nature of sonographic data poses a challenge. To improve object visualization, we first develop a modified diffusion filter that utilizes the local standard deviation and edge of local-average-difference to define an adaptive edge stopping function in diffusion filtering. The proposed method overcomes the drawbacks of traditional diffusion filters and shows good results in comparative experiments. Moreover, we propose a novel light absorbing function to remove large regions of interface artifacts. An advanced imaging mode, called texture-based rendering, is employed to provide more realistic rendering. Experimental results show that the proposed methods enhance final image quality in 3D fetal sonograms.

Original languageEnglish
Pages (from-to)575-588
Number of pages14
JournalMedical and Biological Engineering and Computing
Volume46
Issue number6
DOIs
Publication statusPublished - 2008 Jun 1

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computer Science Applications

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