2026-09-21T00:29:35Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/132766 2026-03-24 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

application/pdf en text Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-12-01 The student, Shensheng Zhao, accepted the attached license on 2025-11-20 at 00:08. The student, Shensheng Zhao, submitted this Dissertation for approval on 2025-11-20 at 00:21. This Dissertation was approved for publication on 2025-11-26 at 14:15. DSpace SAF Submission Ingestion Package generated from Vireo submission #22905 on 2026-02-19 at 20:08:50 Multi-parametric photoacoustic/ultrasound localization (PAUL) imaging and its applications Zhao, Shensheng 2025-11-26 Chen, Yun-Sheng Chen, Yun-Sheng Zhao, Yang Anastasio, Mark A Gruev, Viktor Super-resolution ultrasound imaging photoacoustic imaging functional imaging deep learning eng 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. 2025-12 Thesis https://hdl.handle.net/2142/132766 Copyright 2025 Shensheng Zhao Electrical & Computer Eng Electrical & Computer Engr University of Illinois Urbana-Champaign Ph.D. Dissertation