Matrix compression and compressed sensing reconstruction for photoacoustic tomography

Shuhui Bu, Zhenbao Liu, Tsuyoshi Shiina, Kazuhiko Fukutani

研究成果: Article査読

抄録

Online medical diagnosis is an emerging type of medical services, also it is a new kind of service for electronic commerce. Photoacoustic tomography is a promising imaging modality that can provide high contrast and spatial-resolution images of light-absorption distribution in tissue. This paper presents novel matrix compression methods for reducing required memory and accelerating reconstruction speed for model-based reconstruction. In addition, we integrated the compressed sensing into our proposed reconstruction method for solving the optimization problem. The results of phantom experiment indicate that the proposed method provides a faster and high quality reconstruction with less memory consumption. Therefore, it makes the photoacoustic tomography suitable for online or remote medical diagnosis.

本文言語English
ページ(範囲)101-104
ページ数4
ジャーナルElektronika ir Elektrotechnika
18
9
DOI
出版ステータスPublished - 2012
外部発表はい

ASJC Scopus subject areas

  • 電子工学および電気工学

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