TY  - JOUR
AU  - Bu, Shuhui
AU  - Liu, Zhenbao
AU  - Shiina, Tsuyoshi
AU  - Fukutani, Kazuhiko
PY  - 2012/11/09
Y2  - 2025/01/02
TI  - Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 18
IS  - 9
SE  - 
DO  - 10.5755/j01.eee.18.9.2819
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/2819
SP  - 101-104
AB  - &lt;span&gt;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.&lt;/span&gt;&lt;p&gt;DOI: &lt;a href=&quot;http://dx.doi.org/10.5755/j01.eee.18.9.2819&quot;&gt;http://dx.doi.org/10.5755/j01.eee.18.9.2819&lt;/a&gt;&lt;/p&gt;
ER  -