Xing Long
BME PhD Proposal Presentation
Date: 2023-06-28
Time: 06.28 8:00 AM-10:00 AM (EST) / 06.28 8:00 PM-10:00 PM (Beijing Time)
Location / Meeting Link: https://gatech.zoom.us/j/94138299188?pwd=NlgrbG1DVk14UlNzZ0ZzWHkrM0FJQT09
Committee Members:
Changhui Li, PhD (Advisor); Stanislav Emelianov, PhD; Peng Xi, PhD; Brooks Lindsey, PhD; Shuai Na, PhD
Title: Development of ultrasonic sensing methods and applications in photoacoustic imaging
Abstract:
Photoacoustic (PA) imaging (PAI) is an emerging hybrid imaging technique that combines the advantages of high optical contrast and deep ultrasound penetration. With its unique ability to provide label-free and functional imaging based on light absorption, PAI has found extensive applications in various fields, including angiography and early cancer detection. However, the current use of piezoelectric ultrasound transducers, originally designed for diagnostic ultrasound, exhibits certain limitations and constraints when applied in PAI. These limitations include the common requirements of coupling medium impose limitations on the application of PAI, and the opacity of traditional ultrasound transducers, hindering the transportation of excitation light and resulting in complex and bulky designs of photoacoustic microscopy (PAM) systems. This proposal aims to address these limitations by developing novel ultrasound and photoacoustic detectors and exploring clinically relevant applications of PAI. The research focuses on three main aims: 1) Develop a high-sensitive and wide bandwidth non-contact ultrasound sensing system for photoacoustic imaging; 2) Develop broadband transparent ultrasound transducer for in vivo photoacoustic microscopy; 3) High-resolution 3D functional photoacoustic and ultrasound imaging of human periphery microvasculature. By achieving these aims, this research will contribute to advancing the field of PAI by developing novel ultrasound sensing methods and enabling the visualization of microvasculature with improved resolution and functionality for early diagnosis of vascular relevant diseases.