Department of Computational and Data Sciences
Department Seminar
Speaker : Rupsa Bhattacharjee, University of California San Francisco, USA
Title :”From Pixels to Pathophysiology: Advanced Musculoskeletal Imaging and Computational Techniques”
Date & Time : November 25, 2024,11:00 AM
Venue : # 102, CDS Seminar Hall
ABSTRACT
Osteoarthritis (OA) is a degenerative musculoskeletal joint disease characterized by the breakdown of cartilage, leading to pain, stiffness, reduced mobility, and severely affecting quality of life. Magnetic Resonance Imaging (MRI), image analysis, and computational techniques play a crucial role in diagnosing OA by revealing joint space narrowing, bone spurs, and changes in surrounding tissues (cartilage, ligaments, meniscus, synovium) which help assess the severity and progression of the disease. Accurate imaging not only aids in early diagnosis but also informs treatment decisions and monitoring. In this talk, I will discuss state-of-the-art imaging and computational research directions that: (a) help to understand how OA is propagated between connected joints (from the hips to the knees), b) decode the relationship between bone remodeling and cartilage degenerations with walking patterns and why it is crucial for OA research. We will also discuss how some of this research at expensive higher tesla MRI scanners can be translated to lower tesla scanners for more accessibility across the globe. Overall, this is achieved by implementing a series of image acquisition, processing, and analysis tools enhanced by Artificial Intelligence, and Mathematical Modelling of Joint Pathophysiology. We will also conclude by discussing some of the potential computational research directions that the Musculoskeletal research community is heading toward.
BIO:Rupsa Bhattacharjee, PhD is a Postdoctoral Associate Specialist in the Radiology and Biomedical Imaging Department at the University of California San Francisco (UCSF). She is an Imaging Scientist with a primary interest in developing algorithms to improve the utility of MRI imaging as a diagnostic and prognostic tool. She obtained her doctoral degree in Biomedical Engineering at IIT Delhi, working on utilizing Susceptibility weighted MR imaging (SWI) in human subjects for non-invasive diagnosis of brain tumors and acute ischemic stroke. After graduation, in 2021, she joined the Musculoskeletal Quantitative Imaging Research Group (MQIR) at UCSF to study joint diseases with compositional and metabolic MRI techniques combined with machine learning tools and biomechanics. She has worked as an MRI Application Specialist in Philips Health Systems India for 8 years, closely with various healthcare facilities to set up and optimize MRI scan acquisition parameters according to curtailed needs (1.5T & 3.0T). During her years in the industry, she has partnered with Clinical scientists to jointly run MRI projects on a trial basis in Philips MRI collaborative research centers. She had been an active part of Philips India’s AI-ambassadors team for AI-based knowledge sharing and educational, collaborative approaches. In the past year, she was named a ‘Junior Fellow’ at the International Society of Magnetic Resonance Imaging in Medicine (ISMRM) and has received the ‘Bruce Hasegawa Memorial Award’ for excellence in Basic Imaging Science Research at UCSF. More information can be found at: https://sites.google.com/view/rupsa-bhattacharjee-phd/bio
Host Faculty: Dr. Vaanathi Sundaresan
ALL ARE WELCOME
