Rupsa Bhattacharjee, PhD

Associate Specialist
Associate Specialist
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Biography

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.

In her current role, she is specifically focused on exploring the role of MRI, PET, and machine learning algorithms to extract imaging biomarkers of several musculoskeletal conditions such as knee and hip osteoarthritis. Her primary project involvements are in, but not limited to:
1) Simultaneous Imaging of Tissue Biochemistry and Metabolism (PET-MRI) associated with Biomechanics in Patella Femoral Joint Osteoarthritis
2) Understanding the complex pathophysiology of joint degeneration, knee and hip joint interactions, impact of gait biomechanics, are all critical to determine the mechanistic basis of hip OA.
3) Ultra-Fast Knee MRI with Deep Learning

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.

Education

PhD, 10/2021 - Biomedical Engineering, Indian Institute of Technology (IIT), Delhi
M.E., 06/2013 - Biomedical Engineering, Jadavpur University
B.Tech, 07/2011 - Electronics & Instrumentation Engineering, University of Kalyani

Honors and Awards

Junior Fellow Award, International Society of Magnetic Resonance Imaging in Medicine, 2024
Magna cum Laude Awards for Abstract:ISMRM 2024, Singapore, International Society of Magnetic Resonance Imaging in Medicine, 2024
Three Suma cum Laude Awards for Abstract:ISMRM 2023, Toronto, Canada, International Society of Magnetic Resonance Imaging in Medicine, 2023
Best “MRI Clinical Application Specialist” : Silver Medal, Philips Healthcare, Netherlands, 2019-2020
Educational Travel Stipend Award: ISMRM 2019, Montreal, Canada, International Society of Magnetic Resonance Imaging in Medicine, 2019
Magna cum Laude Awardfor Abstract:ISMRM 2019, Montreal, Canada, International Society of Magnetic Resonance Imaging in Medicine, 2019
Suma cum Laude Award for Abstract:ISMRM 2019, Montreal, Canada, International Society of Magnetic Resonance Imaging in Medicine, 2019
Educational Travel Stipend Award, ISMRM 2018, Paris, France, International Society of Magnetic Resonance Imaging in Medicine, 2018
“YCC: Your contribution counts”, Philips Health System recognitions, 2015
“YCC: Your contribution counts”, Philips Health System recognitions, 2014

Publications

Luitjens J, Ziegeler K, Yoon D, Gassert F, Bhattacharjee R, Manatrakul R, Ngarmsrikam C, Becker A, Yang Y, Joseph GB, Su P, Itriago-Leon P, Majumdar S, Link TM. Improved metal suppression using new generation low-field MRI: a biophantom feasibility study. Skeletal Radiol. 2024 Oct 04.
Bhattacharjee R, Hammond E, Chotigar N, Akkaya Z, Jiang F, Bahroos E, Han M, Behr S, Bucknor MD, Souza RB, Pedoia V, Majumdar S. The relationships between patellofemoral bone remodeling, cartilage composition, and vertical loading rate: PET/MRI in isolated patellofemoral osteoarthritis. Osteoarthritis Cartilage. 2024 Dec; 32(12):1591-1600.
Tong MW, Zhou J, Akkaya Z, Majumdar S, Bhattacharjee R. Artificial intelligence in musculoskeletal applications: a primer for radiologists. Diagn Interv Radiol. 2024 Aug 19.
Löffler MT, Akkaya Z, Bhattacharjee R, Link TM. Biomarkers of Cartilage Composition. Semin Musculoskelet Radiol. 2024 Feb; 28(1):26-38.
Luitjens J, Gassert FG, Patwardhan V, Bhattacharjee R, Joseph GB, Zhang AL, Souza RB, Majumdar S, Link TM. Is hip capsule morphology associated with hip pain in patients without another structural correlate? Eur Radiol. 2024 Jul; 34(7):4321-4330.
Tong MW, Tolpadi AA, Bhattacharjee R, Han M, Majumdar S, Pedoia V. Synthetic Knee MRI T1p Maps as an Avenue for Clinical Translation of Quantitative Osteoarthritis Biomarkers. Bioengineering (Basel). 2023 Dec 24; 11(1).
Nosrat C, Gao KT, Bhattacharjee R, Pedoia V, Koff MF, Gold GE, Potter HG, Majumdar S. Multiparametric MRI of Knees in Collegiate Basketball Players: Associations With Morphological Abnormalities and Functional Deficits. Orthop J Sports Med. 2023 Dec; 11(12):23259671231216490.
Rupsa Bhattacharjee, Zehra Akkaya, Johanna Luitjens, Pan Su, Yang Yang, Valentina Pedoia, Sharmila Majumdar. Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls. Arxiv >Computer Science > Computer Vision and Pattern Recognition arXiv>cs>arXiv:2310.17152. 2023.
Bhattacharjee R, Thahakoya R, Luitjens J, Han M, Roach KE, Jiang F, Souza RB, Pedoia V, Majumdar S. Effects of T1p Characteristics of Load-Bearing Hip Cartilage on Bilateral Knee Patellar Cartilage Subregions: Subjects With None to Moderate Radiographic Hip Osteoarthritis. J Magn Reson Imaging. 2024 Jul; 60(1):186-202.
Tolpadi AA, Bharadwaj U, Gao KT, Bhattacharjee R, Gassert FG, Luitjens J, Giesler P, Morshuis JN, Fischer P, Hein M, Baumgartner CF, Razumov A, Dylov D, Lohuizen QV, Fransen SJ, Zhang X, Tibrewala R, de Moura HL, Liu K, Zibetti MVW, Regatte R, Majumdar S, Pedoia V. K2S Challenge: From Undersampled K-Space to Automatic Segmentation. Bioengineering (Basel). 2023 Feb 18; 10(2).
Parvaze PS, Bhattacharjee R, Verma YK, Singh RK, Yadav V, Singh A, Khanna G, Ahlawat S, Trivedi R, Patir R, Vaishya S, Shah TJ, Gupta RK. Quantification of Radiomics features of Peritumoral Vasogenic Edema extracted from fluid-attenuated inversion recovery images in glioblastoma and isolated brain metastasis, using T1-dynamic contrast-enhanced Perfusion analysis. NMR Biomed. 2023 05; 36(5):e4884.
Bhattacharjee R, Singh A, Ahlawat S, Patir R, Vaishya S, Shah TJ, Gupta RK. Radiomics-based evaluation and possible characterization of dynamic contrast enhanced (DCE) perfusion derived different sub-regions of Glioblastoma. Eur J Radiol. 2023 Feb; 159:110655.
Bhattacharjee R, Gupta M, Singh T, Sharma S, Khanna G, Parvaze SP, Patir R, Vaishya S, Ahlawat S, Singh A, Gupta RK. Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation. Neuroradiology. 2022 Sep; 64(9):1801-1818.
Bhattacharjee R, Gupta RK, Das B, Dixit VK, Gupta P, Singh A. Penumbra quantification from MR SWI-DWI mismatch and its comparison with MR ASL PWI-DWI mismatch in patients with acute ischemic stroke. NMR Biomed. 2021 07; 34(7):e4526.
Krishnan P, Shah TJ, Godkhindi A, Bhattacharjee R, Pichai SK, Krishnan A, Dave B, Saha I. 2D Texture Analysis based approach for detection of Osteoporosis on 1.5T on T1-weighted MR images. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2021; 2021(29):0524.
Bhattacharjee R, Gupta RK, Parvaze SP, Patir R, Vaishya S, Ahlawat S, Singh A. Differentiating hemorrhage and vasculature ITSS in SWI-magnitude images in intracranial Glioma: machine-learning and radiomic based approach. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2021; 2021(29):3250.
Dhawan S, Afshan I, Bhattacharjee R, Saha I. Evaluating the role of T2-weighted-imaging in acute ischemic stroke to accelerate routine Stroke-MRI protocol. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2021; 2021(29):3813.
Sasi S D, Ramaniharan AK, Bhattacharjee R, Gupta RK, Saha I, Van Cauteren M, Shah T, Gopalakrishnan K, Gupta A, Singh A. Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading. Eur J Radiol. 2020 Aug; 129:109049.
Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A. . Differentiating lymphoma from grade-IV glioma using susceptibility weighted imaging based texture feature at 3T MRI. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2020; 2020(28):1694.
Bhattacharjee R, Gupta RK, Dixit VK, Gupta P, Singh A. Penumbra Quantification from SWI visible Prominent Veins and its comparison with ASL-derived penumbra in patients with acute stroke. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2020; 2020(28):1788.
Gupta RK, Neelavalli J, Gupta M, Ramaniharan AK, Sinha BK, Kriplani AK, Saini J, Verma RK, Verma MK, Bhattacharjee R, Saha I. Evaluation of Gall Bladder Stones Using Susceptibility Weighted Imaging. J Comput Assist Tomogr. 2019 Sep/Oct; 43(5):747-754.
Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A. Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma. J Magn Reson Imaging. 2020 01; 51(1):225-233.
Bhattacharjee R, Raj RK, Verma RK, Gupta RK, Singh A . Comprehensive stroke protocol of less than six minutes: using Compressed-SENSE with valued addition of SWIp and Non-Contrast-3D-MRA. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):1188.
Kar B, Sengupta A, Bhattacharjee R, Vats N, Yadav V, Sasi D, Gupta RK, Singh A. Grading of glioma using a machine learning framework based on optimized features obtained from quantitative DCE-MRI and SWI. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):3071.
Bhattacharjee R, Neelavalli J, Gupta M, Thakran S, Sasi D, Gupta RK, Singh A. Quantitative intra-tumoral susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):0399.
Sasi D, Singh A, Bhattacharjee R, Debnath A, Thakran S, Gupta RK, Saha I, Van MC. To Evaluate Effect of SENSE and CSENSE on Quantitative T1 and T2 mapping of Human Brain. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):4414.
Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S, Singh A. Quantitative Micro-Vasculature Volume Assessment of Intra Tumoral Susceptibility Signal (ITSS) in differentiating Grade-III from IV glioma. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2018; 2018(26):3420.
Singh A, Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S. R2-Star & DCE-Perfusion MRI based Novel Approach for Classification of Intra Tumoral Susceptibility Signal (ITSS) into Haemorrhage, Non-Leaky Vessels and Leaky Vessels in Glioblastoma. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2018; 2018(26):5030.
Gupta PK, Sahoo P, Singh AK, Garg RK, Bhattacharjee R, Gupta RK. Comparison of Signal intensity measures with absolute T1 value quantification in patients undergoing serial follow up imaging in patients with neurocysticercosis. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2016; 2016(24).
Bhattacharjee R, Sahoo P, Gupta PK, Gupta RK. Dynamic Contrast Enhanced perfusion MRI in pediatric brain tumors. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2016; 2016(24).
Bhattacharjee R, Chakraborty M. Brain Tumor Detection from MR Images: Image Processing, Slicing and PCA Based Reconstruction. Proceedings published by IEEE, Computer Society of India.ISBN 978-1-4673-1825-9, IEEE Catalog Number.- CFP1272M-PRT. 2012; 97-101.
Bhattacharjee R, Chakraborty M. Exudates, Retinal and Statistical Features Detection from Diabetic Retinopathy and Normal Fundus Images : An Automated Comparative Approach. Proceedings published by IEEE.ISBN 978-1-4673-2837-1, IEEE Catalog Number CFP1214T-PRT. 2012; 266-271.
Bhattacharjee R, Chakraborty M. LPG-PCA Algorithm and Selective Thresholding based Automated Method:ALL & AML Blast Cells Detection and Counting. Proceedings published by IEEE. ISBN 978-1-4673-4698-6, IEEE Catalog Number.- CFP1207U-CDR. 2012.