| Proj No. | A2260-251 |
| Title | Artificial Intelligence (AI) processing for enhancing an Intelligent Sensor - I |
| Summary | Photoacoustic imaging (optoacoustic imaging) is a biomedical imaging modality based on the photoacoustic effect. In photoacoustic imaging, non-ionizing laser pulses are delivered into biological tissues (when radio frequency pulses are used, the technology is referred to as thermoacoustic imaging). Some of the delivered energy will be absorbed and converted into heat, leading to transient thermoelastic expansion and thus wideband (i.e. MHz) ultrasonic emission. The generated ultrasonic waves are detected by ultrasonic transducers and then analyzed to produce images. It is known that optical absorption is closely associated with physiological properties, such as hemoglobin concentration and oxygen saturation. As a result, the magnitude of the ultrasonic emission (i.e. photoacoustic signal), which is proportional to the local energy deposition, reveals physiologically specific optical absorption contrast. In this project, you will work on using AI algorithm to enhance a non-invasive photoacoustics sensor in terms of sensitivity and specificity which can be used to measure the blood pressure. Software simulation and hardware implementation will be done in the project. You will be also involved in-vitro and in vivo experiments. Previous study report and prototype will be provided to you for you to jump start. |
| Supervisor | Prof Zheng Yuanjin (Loc:S2.2 > S2.2 B2 > S2.2 B2 16, Ext: +65 65927764) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | CBB2 (formerly Machine Learning Lab) (Loc: S1-B4c-10, ext: 4882) |
| Single/Group: | Single |
| Area: | Microelectronics and Biomedical Electronics |
| ISP/RI/SMP/SCP?: |