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.
| Original language | English |
|---|---|
| Pages (from-to) | 101-104 |
| Number of pages | 4 |
| Journal | Elektronika ir Elektrotechnika |
| Volume | 18 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
Keywords
- Biomedical imaging
- Compressed sensing.
- Computed tomography
- Reconstruction algorithms
ASJC Scopus subject areas
- Electrical and Electronic Engineering