Non local means denoising in photoacoustic imaging

Syahril Siregar*, Ryo Nagaoka, Israr Ul Haq, Yoshifumi Saijo

*この論文の責任著者

研究成果: ジャーナルへの寄稿学術論文査読

11 被引用数 (Scopus)

抄録

Photoacoustic (PA) imaging has the ability to visualize human organs with high spatial resolution and high contrast. Like digital images, PA images are contaminated with random noise due to some parameters. The band-pass filter does not effectively remove the noise because noise is randomly distributed in the bandwidth frequency. We present noise removal method in PA images by using non local means denoising (NLMD) method. The NLMD can be used if there are similarities or redundancies in the image. PA images contain of blood vessel which repeating on the small patch. The method was tested on PA images of carbon nanotubes in micropipe, in vivo mice brain and in vivo mice ear. We estimated the suggested input parameters of NLMD, so it can be automatically applied after scanning the image in PA imaging system. Our results declared that the NLMD enhanced the image quality of PA images.

本文言語英語
論文番号07LB06
ジャーナルJapanese Journal of Applied Physics
57
7
DOI
出版ステータス出版済み - 2018/07

ASJC Scopus 主題領域

  • 工学一般
  • 物理学および天文学一般

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