Diffusion-weighted MRI (dMRI) is promising for estimating tumor microenvironment characteristics from measured signals that encode the microscopic diffusion of water molecules constrained by cellular architecture. Estimation accuracy is compromised by low sig...
Author profile
Wen Li
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine
Physics-Informed Neural Network for Estimating Cellular Microenvironment Parameters In Radiotherapy Treatment Response Assessment
Poster Program · Diagnostic and Interventional Radiology Physics
Quantitative MR Fingerprinting for Synthetic CT Via a Deformably-Registered Fusion Transformer Network
To develop and validate a deep learning framework for high-accuracy pseudo-CT synthesis from rapid, multi-parametric Magnetic Resonance Fingerprinting (MRF) for liver radiotherapy. This work addresses the technical challenge of translating quantitative tissue...
Poster Program · Therapy Physics
Denoising-Driven Estimation of Cell Microenvironment Parameters from Diffusion MRI
Diffusion MRI (dMRI) is a promising imaging modality for estimating tumor microenvironment parameters, providing valuable information for early treatment response assessment in radiotherapy. High noise levels in 1.5T MRI degrade parameter estimation accuracy....
Proffered Program · Therapy Physics