Polarization-Based Optical Imaging for Clinical Diagnostics by Yurii Ushenko

Polarization-Based Optical Imaging for Clinical Diagnostics by Yurii Ushenko

Unified polarization imaging theory for preclinical disease detection and diagnostics

Detecting pathological tissue changes before clinical symptoms emerge requires imaging methods with high structural sensitivity. Polarization-Based Optical Imaging for Clinical Diagnostics presents a unified phenomenological theory integrating polarization interferometry, Mueller and Jones matrix mapping, digital holography, and phase scanning. Edited by a team of optical physicists with collectively over 1,000 Scopus-indexed publications, this reference establishes a coherent framework for 3D Jones-Mueller digital holographic mapping of biological tissues and fluids.

The book details physical principles, experimental optical systems, and data analysis algorithms combining statistical, fractal, and wavelet approaches to differentiate pathological states with precision. Clinical applications span oncology, cardiology, gynecology, and forensic medicine, each demonstrated through concrete diagnostic scenarios. Software tools and image libraries accompany the methodology, enabling direct implementation of polarization-based diagnostic protocols in laboratory and clinical settings.

Readers will also find:

• A unified phenomenological framework connecting polarization interferometry, Mueller matrix mapping, Jones matrix mapping, digital holography, and phase scanning techniques
• Detailed algorithms for statistical, fractal, and wavelet analysis applied to optical mapping data from biological tissues and fluids
• Clinical diagnostic applications in oncology, cardiology, gynecology, and forensic medicine with pathological state differentiation methods
• Software tools and image libraries supporting direct implementation of 3D Jones-Mueller digital holographic mapping protocols
• Experimental system designs for polarization-based optical mapping enabling non-invasive preclinical detection of cancer, diabetes, and cardiovascular conditions

Polarization-Based Optical Imaging for Clinical Diagnostics serves biophysicists, clinical physicists, radiologists, and biomedical engineers seeking a rigorous, application-ready reference for polarization-based tissue characterization. By unifying theory, experimental methodology, and clinical validation in a single volume, it equips researchers and practitioners to advance non-invasive preclinical diagnostics.

Yurii Ushenko, PhD, is a Professor at Shaoxing University and Head of Computer Sciences at Chernivtsi National University, directing the Laboratory of Multifunctional Light and Fluorescence Microscopy and Laser Polarimetry. He has authored over 300 Scopus-indexed publications, 20 monographs, and over 70 patents.

Weidong Dou, PhD, is a Professor of Physics at Shaoxing University. He received his PhD in surface and interface physics from Zhejiang University and completed postdoctoral research at the Center of Super-Diamond and Advanced Films, City University of Hong Kong. His research focuses on nanomaterial fabrication and applications.

Oleksandr Ushenko, PhD, is a Professor and Head of the Department of Printing, Multimedia and Optical Technologies at Chernivtsi National University and Research Fellow at Taizhou Institute of Zhejiang University. He has authored over 300 Scopus-indexed publications, 21 monographs, and over 100 patents.

Oleksandr Dubolazov, PhD, DSc, is a Professor at Chernivtsi National University with a DSc in Optics and Laser Physics. His academic output includes over 200 Scopus-indexed publications, more than 10 monographs, and over 50 patents. He has led five funded research-and-development projects as principal investigator.

Iryna Soltys, PhD, is an Associate Professor at Chernivtsi National University with a PhD in Optics and Laser Physics. She has authored over 100 Scopus-indexed publications, several internationally published monographs, and 24 Ukrainian patents, serving as principal investigator on multiple nationally funded projects.