Rupsa Bhattacharjee, PhD is a Post-Doctoral Associate Specialist in the Radiology and Biomedical Imaging Department.She is a medical imaging and image processing researcher with a primary interest in developing algorithms for to improve the utility of MRI imaging as diagnostic and prognostic tool. She obtained her doctoral degree in Biomedical Engineering working on Susceptibility weighted MR imaging (SWI) in human subjects with tumors and acute ischemic stroke. After graduation, in 2021, she joined the Musculoskeletal and Imaging Research Group at UCSF as post-doctoral fellow to study joint diseases with compositional MRI techniques combined with machine learning tools.
She has worked as MRI Application Specialist in Philips Healthcare 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 industry, she has partnered with Clinical scientists to jointly run MRI projects on test and trial basis in India market Philips MRI collaborative research centers. [New product introduction and First-of-kind trials: Compressed SENSE, Amide Proton Transfer, Ultra-short TE, Multi-Nuclei Spectroscopy, Spiral acquisition, Quantitative Susceptibility Mapping, IVIM, Elastography etc.] She has been an active part of Philips India AI-ambassadors team for AI based knowledge sharing and educational, collaborative approaches.
In her current role, she is focused in exploring the role of machine learning to extract imaging biomarkers of several musculoskeletal conditions such as knee and hip osteoarthritis. She works on finding the complex interactions between morphological, biochemical and biomechanics aspects of the joints as a whole. She also is interested and works on sequencing MRI pulse codes for novel contrast mechanisms.