Elizabeth Li, PhD

Instructor A of Radiology
Department: Radiology
Contact information
John Morgan Building
3620 Hamilton Walk, 160H
Philadelphia, PA 19104
3620 Hamilton Walk, 160H
Philadelphia, PA 19104
Education:
BS (Mathematics)
University of Los Angeles (UCLA) , 2013.
MS (Biomedical Imaging)
University of California San Francisco (UCSF), 2015.
Ph.D (Biomedical Engineering)
University of California (UC) Davis, 2022.
Permanent linkBS (Mathematics)
University of Los Angeles (UCLA) , 2013.
MS (Biomedical Imaging)
University of California San Francisco (UCSF), 2015.
Ph.D (Biomedical Engineering)
University of California (UC) Davis, 2022.
Selected Publications
Florence M. Muller, Elizabeth J. Li, Margaret E. Daube-Witherspoon, Austin R. Pantel, Christian Vanhove, Stefaan Vandenberghe, Joel S. Karp: Deep learning denoising in Patlak parametric imaging of low-dose dynamic [18F]-FDG data using PennPET Explorer. 2024 Total-body PET. Podium presentation. Groningen, Netherlands Sep 2024.Rucha Ronghe, Teresa Crespo, Karla J. Suchacki, David Dye, Catriona Wimberley, Simon R. Cherry, Ramsey D. Badawi, Lorenzo Nardo, Elizabeth J. Li, Benjamin A. Spencer, Adriana A. S. Tavares: Total-body PET imaging to study bone metabolism at systems level in health and in lung cancer. 2024 Total-body PET. Podium Presentation. Groningen, Netherlands Sep 2024.
Catriona Wimberley, Benjamin A. Spencer, Elizabeth J. Li, Ramsey D. Badawi, Lorenzo Nardo, Simon R. Cherry, Adriana Tavares: Factor analysis of total-body [18F]-FDG PET images. 2024 Total-body PET. Podium Presentation. Groningen, Netherlands Sep 2024.
Elizabeth J. Li, Joel S. Karp, Chia-Ju Hsieh, Anthony Young, Hsiaoju Lee, Henry Kranzler, Jacob Dubroff: Thalamic mu-opioid receptor (MOR) PET imaging: impact of partial volume correction on kinetic modeling 2024 NeuroReceptor Mapping. Poster. Montreal Canada May 2024 Notes: This work is currently being expanded upon by Joshua Pascale, a undergraduate researcher I am mentoring.
Austin R. Pantel, Seong-Woo Bae, Elizabeth J. Li, Sophia R. O’Brien, Charles Manning: PET imaging of metabolism, perfusion, and hypoxia: FDG and beyond. The Cancer Journal: The Journal of Principles & Practice of Oncology 30(3): 159-169, May 2024.
Emily N. Holy, Elizabeth J. Li, Anjan Bhattarai, Evan Fletcher, Evelyn R. Alfaro, Danielle J. Harvey, Benjamin A. Spencer, Simon R. Cherry, Charles S. DeCarli, Audrey P. Fan: Non-invasive quantification of [18F]-florbetaben with total-body EXPLORER PET. EJNMMI Research 14(1): 39, Apr 2024.
Anjan Bhattarai, Emily N. Holy, Elizabeth J. Li, Yiran Wang, Benjamin A. Spencer, Guobao Wang, Charles Decarli, Audrey P. Fan: Comparison of delay correction methods to estimate [18F]‐florbetaben kinetics in the brain using an image derived input function on total‐body EXPLORER PET. 2023 Alzheimer's Association International Conference. Poster. Amsterdam, Netherlands. Alzheimer's & Dementia 19(S16), Dec 2023.
Emily N. Holy, Elizabeth J. Li, Evelyn R. Alfaro, Evan Fletcher, Anjan Bhattarai, Benjamin A. Spencer, Simon R. Cherry, Charles Decarli, Audrey P. Fan: Non‐invasive kinetic modeling of [18F]‐florbetaben and [18F]‐PI‐2620 with total‐body dynamic EXPLORER PET. 2023 Alzheimer's Association International Conference. Poster. Amsterdam, Netherlands 19(S16), Dec 2023.
Florence M. Muller, Jiapeng Chen, Margaret E. Daube-Witherspoon, Elizabeth J. Li, Nadav Shapira, Michael J. Parma, Christian Vanhove, Stefaan Vandenberghe, Peter Noël, Joel S. Karp: Deep learning dose reduction strategies for attenuation correction in PET imaging. 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Poster. Vancouver, Canada Nov 2023.
Florence M. Muller, Elizabeth J. Li, Min Gao, Austin R. Pantel, Michael J. Parma, Suleman Surti, Christian Vanhove, Stefaan Vandenberghe, Margaret E. Daube-Witherspoon, Joel S. Karp: Deep learning image denoising in PET: quantitative impact on kinetic modeling and clinical metrics. 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Poster. Vancouver, Canada Nov 2023 Notes: A manuscript is under review.