Unveiling the Future of Biomedical Imaging with Prof. Naren Naik

The Department of Electronics and Communication Engineering is pleased to introduce an exciting and enlightening talk by the esteemed Prof. Naren Naik, a distinguished authority in Electrical Engineering from IIT Kanpur on October 30, 2023 that promises to push the boundaries of biomedical imaging and research. Prof. Naik will explore the captivating realm of “Dynamic Shape-Based Biomedical Tomographic Reconstruction Algorithms.” This topic represents a cutting-edge fusion of engineering and medicine, offering remarkable insights into the future of healthcare and diagnostics.

Prepare to embark on a journey through the intricate world of tomographic reconstruction, where mathematical algorithms and shape dynamics converge to transform how we visualize and understand the human body. Prof. Naik’s expertise and pioneering research in this field will unveil a world of possibilities and innovations that are set to shape the future of biomedical imaging.

Join to unlock the secrets of dynamic shape-based biomedical tomographic reconstruction algorithms!

About the Speaker

Prof. Naren Naik specialises in the modelling and reconstruction algorithms for tomographic imaging. He is a Professor in the Department of Electrical Engineering and the Centre of Lasers and Photonics at Indian Institute of Technology, Kanpur. His major application thrust in the past few years has been in functional biomedical imaging with fluorescence optical and photoacoustic tomography, as well as electrical impedance and impedance-acoustic tomography.

Abstract of the Talk

Tomography (coming from the Greek (tomos = slice) is the science of computationally quantitatively obtaining (“reconstructing”) the internal structure of a medium of interest from the data obtained by the interaction of an interrogating signal with the medium. It is an inverse problem where computational signal processing frameworks work together with the physics of radiation-matter interaction to yield the desired interior properties of objects of interest. The talk will first aim to introduce the basic ideas involved in biomedical tomographic imaging with an emphasis on optical-based modalities. The reconstruction problem is defined and classified, and the algorithmic framework to solve it is discussed. We will then discuss solutions we have developed for dynamic reconstruction problems in a straight path (a dynamic boundary problem) and pharmacokinetic fluorescence photoacoustic (static boundary but time-varying states) tomographies. The latter problem in pharmacokinetic Imaging has vital applications in early cancer detection and metabolic imaging.