Adaptive spatial filtering with principal component analysis for biomedical photoacoustic imaging

Ryo Nagaoka, Rena Yamazaki, Yoshifumi Saijo

研究成果: Conference article査読

2 被引用数 (Scopus)

抄録

Photoacoustic (PA) signal is very sensitive to noise generated by peripheral equipment such as power supply, stepping motor or semiconductor laser. Band-pass filter is not effective because the frequency bandwidth of the PA signal also covers the noise frequency. The objective of the present study is to reduce the noise by using an adaptive spatial filter with principal component analysis (PCA).

本文言語English
ページ(範囲)1161-1164
ページ数4
ジャーナルPhysics Procedia
70
DOI
出版ステータスPublished - 2015
イベントICU International Congress on Ultrasonics, ICU 2015 - Metz, France
継続期間: 2015 5 112015 5 14

ASJC Scopus subject areas

  • 物理学および天文学(全般)

フィンガープリント

「Adaptive spatial filtering with principal component analysis for biomedical photoacoustic imaging」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル