Photoacoustic (PA) tomography (PAT) is a hybrid imaging technique that combines rich optical absorption contrast and high ultrasonic spatial resolution. PAT has proven capable of imaging anatomical, functional, molecular, and metabolic information of biological tissue. The central question is that how much skin photoacoustic image is going to add to the image acquired from the ultrasound and whether this information can potentially be used for malignant melanoma skin tumor diagnosis.
A photoacoustic tomography system has been built on a Verosonics Vantage (VV) system by a PhD student already. VV system uses state-of-the-art hardware and software technologies to provide access to raw ultrasound data from each channel. In this project this system will be modified and utilized for experiments.
Matlab signal / image processing (BME 3470)
Familiarity with optics, ultrasound, electronic design is a plus
one of the followings :
January 2017 to May 2017
January 2017 to January 2018
The student with the help of a PhD student will develop necessary Matlab codes to implement photoacoustic imaging of skin. He/She will make necessary phantoms and conduct experiments with the PhD student. The responsibilities of the student thus include any correspondence, experimentation, data analysis and interpretation, and drafting of the research paper with the help of the PhD student and under the supervision of the mentor.
The student will also be responsible for providing weekly progress reports, which will be presented to both his faculty mentor and imaging lab peers. This will include the summarization of completed progress, identification of any conflicts/issues which may have arisen, and initial conclusions based on the progress. The progress reports also act as a means to ensure that the student is managing the project well, making appropriate progress, and is still on the track with the timeline of the study.
November 8, 2016