Adaptive spatial filtering with principal component analysis for biomedical photoacoustic imaging

Ryo Nagaoka, Rena Yamazaki, Yoshifumi Saijo

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

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).

Original languageEnglish
Pages (from-to)1161-1164
Number of pages4
JournalPhysics Procedia
Volume70
DOIs
Publication statusPublished - 2015 Jan 1
EventICU International Congress on Ultrasonics, ICU 2015 - Metz, France
Duration: 2015 May 112015 May 14

Keywords

  • Adapative Spatial Filtering
  • Chicken Embryo
  • High Frequency Measurement
  • Photoacoustic Imaging
  • Principal Component

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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