Biomechanical Imaging & its Role in the Etiology, Progression, Detection, and Diagnosis of Disease
Prof. Assad A. Oberai
Mechanical Aerospace and Nuclear Engineering
Rensselaer Polytechnic Institute
Thursday, April 28 at 4:30pm
530-127 (Note new time and location this quarter)
Certain types of diseases lead to changes in the microstructural organization of tissue. Altered microstructure, in turn, leads to altered macroscopic tissue properties, which are often easier to image than the microstructure itself. Thus the measurement of macroscopic properties offers a window into tissue microstructure and health. In Biomechanical Imaging (BMI) we aim to utilize this association between the macroscopic mechanical properties of tissue and its health by generating images of the mechanical properties and using these to infer tissue microstructure and health.
At the heart of BMI lies the solution of an inverse problem in continuum mechanics: given the deformation of the medium (tissue) and a constitutive model, determine the spatial distribution of the material properties. In this talk, I will discuss the well- posedness of this inverse problem and describe efficient and robust algorithms for solving it. I will also describe the development of new constitutive models that are motivated by tissue microstructure, and applications of BMI that include improved in-vivo diagnosis of breast cancer, better-informed surgical planning, understanding mechanical changes during cancer progression, and imaging elastic properties of tissue at the cellular, and sub-cellular levels.