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Assess the efficacy of Prostate-specific membrane antigen (PSMA)-targeted PAMAM dendrimers using photoacoustic (PA) imaging to enhance cancer detection and image-guided interventions. The primary objective of this project is to compare the performance of different types of contrast agents and model their PA excitation intensity under various conditions. In vivo tumor-induced mice were employed to evaluate the performance of the agents. Additionally, this project investigated a novel approach to quantify the contrast agent by employing multi-reference spectroscopic decomposition. (Collaboration with Dr. Wojciech Lesniak, Dr. Sangeeta Ray, Johns Hopkins University, USA and Dr. John Obayemi, Dr. Winston Wole Soboyejo, Worcester Polytechnic Institute, USA)
Related Publications
Shang Gao, Liudmila Serebrennikova, Ryo Murakami, Srikanth Boinapally, Sangeeta Ray, Martin G. Pomper, Haichong K. Zhang, “Absolute Quantitative Photoacoustic Imaging for Contrast Agents Concentration Estimation Using a Spectral Decomposition Approach”, Molecular Imaging
Fangzhou Lin*, Shang Gao*, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang, John D. Obayemi, Winston O. Soboyejo, Haichong K. Zhang, "Spectroscopic Photoacoustic Denoising Framework using Hybrid Analytical and Data-free Learning Method", Photoacoustics, Volume 44, 2025, 100729, ISSN 2213-5979 [Link]
Fangzhou Lin*, Shang Gao*, Yichuan Tang, Xihan Ma, Ziming Zhang, Haichong K. Zhang, "Feasibility study of data-free spectroscopic photoacoustic image denoising," Proc. SPIE 13412, Medical Imaging 2025: Ultrasonic Imaging and Tomography, 134120J (10 April 2025) [Link]
Liudmila Serebrennikova, Shang Gao, Ryo Murakami, Srikanth Boinapally, Martin G. Pomper, Sangeeta Ray, Haichong K. Zhang, "Feasibility of spectra-based quantification algorithm for non-linear photoacoustic contrast agents", SPIE Photonics West 2023 - Accepted [Conference Link]
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