Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography

Authors

  • Shuhui Bu Northwestern Polytechnical University
  • Zhenbao Liu Northwestern Polytechnical University
  • Tsuyoshi Shiina Kyoto University
  • Kazuhiko Fukutani Canon Inc.

DOI:

https://doi.org/10.5755/j01.eee.18.9.2819

Keywords:

Biomedical imaging, reconstruction algorithms, computed tomography, compressed sensing

Abstract

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.

DOI: http://dx.doi.org/10.5755/j01.eee.18.9.2819

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Published

2012-11-09

How to Cite

Bu, S., Liu, Z., Shiina, T., & Fukutani, K. (2012). Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography. Elektronika Ir Elektrotechnika, 18(9), 101-104. https://doi.org/10.5755/j01.eee.18.9.2819

Issue

Vol. 18 No. 9 (2012)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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