3D Gabor wavelet based vessel filtering of photoacoustic images

Israr Ul Haq, Ryo Nagoaka, Takahiro Makino, Takuya Tabata, Yoshifumi Saijo

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Filtering and segmentation of vasculature is an important issue in medical imaging. The visualization of vasculature is crucial for the early diagnosis and therapy in numerous medical applications. This paper investigates the use of Gabor wavelet to enhance the effect of vasculature while eliminating the noise due to size, sensitivity and aperture of the detector in 3D Optical Resolution Photoacoustic Microscopy (OR-PAM). A detailed multi-scale analysis of wavelet filtering and Hessian based method is analyzed for extracting vessels of different sizes since the blood vessels usually vary with in a range of radii. The proposed algorithm first enhances the vasculature in the image and then tubular structures are classified by eigenvalue decomposition of the local Hessian matrix at each voxel in the image. The algorithm is tested on non-invasive experiments, which shows appreciable results to enhance vasculature in photo-acoustic images.

本文言語English
ホスト出版物のタイトル2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3883-3886
ページ数4
ISBN(電子版)9781457702204
DOI
出版ステータスPublished - 2016 10 13
外部発表はい
イベント38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
継続期間: 2016 8 162016 8 20

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016-October
ISSN(印刷版)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
国/地域United States
CityOrlando
Period16/8/1616/8/20

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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