@article{Bu_Liu_Shiina_Fukutani_2012, title={Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography}, volume={18}, url={https://eejournal.ktu.lt/index.php/elt/article/view/2819}, DOI={10.5755/j01.eee.18.9.2819}, abstractNote={<span>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.</span><p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.18.9.2819">http://dx.doi.org/10.5755/j01.eee.18.9.2819</a></p>}, number={9}, journal={Elektronika ir Elektrotechnika}, author={Bu, Shuhui and Liu, Zhenbao and Shiina, Tsuyoshi and Fukutani, Kazuhiko}, year={2012}, month={Nov.}, pages={101-104} }