Multi-parametric photoacoustic/ultrasound localization (PAUL) imaging and its applications
Zhao, Shensheng
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https://hdl.handle.net/2142/132766
Description
Title
Multi-parametric photoacoustic/ultrasound localization (PAUL) imaging and its applications
Author(s)
Zhao, Shensheng
Issue Date
2025-11-26
Director of Research (if dissertation) or Advisor (if thesis)
Chen, Yun-Sheng
Doctoral Committee Chair(s)
Chen, Yun-Sheng
Committee Member(s)
Zhao, Yang
Anastasio, Mark A
Gruev, Viktor
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Super-resolution
ultrasound imaging
photoacoustic imaging
functional imaging
deep learning
Language
eng
Abstract
Noninvasive biomedical imaging technologies play a critical role in medical diagnostics, yet each modality has inherent limitations in spatial resolution, functional sensitivity, or molecular specificity. Hybrid imaging approaches have been developed to address these limitations, providing complementary structural and functional information for comprehensive tissue characterization.
This thesis introduces a dual-modal photoacoustic and ultrasound localization (PAUL) imaging platform that integrates super-resolution ultrasound localization (UL) with photoacoustic (PA) imaging to enable multiparametric sensing of anatomical, structural, functional, and molecular features. We developed multiple PAUL imaging strategies to enhance its capabilities, including fast imaging, 3D imaging with a large field of view, on-demand contrast generation, and fully label-free imaging without exogenous agents. The multiparametric sensing capability makes PAUL imaging well-suited to capture complex biological disease processes and guide therapeutic interventions. We further demonstrated this capability through several applications: noninvasive monitoring of focused ultrasound–induced blood–brain barrier disruption, longitudinal assessment of renal microvascular dysfunction in acute kidney injury, and image-guided mechanochemical cancer therapy.
Overall, this work establishes PAUL imaging as a high-resolution, versatile, and functional imaging platform for preclinical studies, offering new opportunities to probe vascular dynamics, tissue physiology, and therapeutic responses in vivo.
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