Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography

Shuhui Bu, Zhenbao Liu, Tsuyoshi Shiina, Kazuhiko Fukutani

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


Keywords


Biomedical imaging; reconstruction algorithms; computed tomography; compressed sensing

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Print ISSN: 1392-1215
Online ISSN: 2029-5731