Jie Deng, PhD

T1-weighted (T1w) and T2-weighted (T2w) FLAIR MRI provide complementary image contrast for delineating gross tumor volume (GTV) and clinical target volume (CTV) in brain tumor radiotherapy (RT) planning during both MRI simulation (MR-Sim) and MRI-guided RT (M...

Accurate estimation of microstructural parameters by Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED) diffusion MRI, including cell size and intracellular volume fraction, is promising for monitoring radiation treatment...

To address fragmentation and variability in longitudinal brain lesion assessment, we developed Brain-Dynamics, a vendor-neutral platform integrating auto‑segmentation, multimodal co‑registration, lesion labeling/tracking, and quantitative analytics for resear...

To clinically validate an implicit neural representation (INR)-based fitting approach for intravoxel incoherent motion (IVIM) diffusion MRI parameter estimation against conventional non-linear least squares (NLLS), and to evaluate a robustness metric (R-index...

Diffusion-weighted MRI (DWI) and its derived parameters, including apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) metrics, are valuable for assessing tumor response to radiotherapy. However, DWI processing workflows are complex,...

Magnetic resonance (MR)–only radiotherapy planning requires accurate synthetic CT (sCT) generation from images acquired using standard clinical MRI simulation protocols. However, MRI acquisition protocols vary substantially across anatomical sites, and many e...

Weisskoff analysis assesses temporal stability of echo-planar imaging (EPI) in functional MRI (fMRI) by comparing how the temporal coefficient of variation (CoV) scales with ROI size relative to uncorrelated noise (e.g. ideal scaling) to assess unwanted inter...

To compare MR-simulation motion emulation with measured respiratory gating performance for ultra-central lung treatments on 1.5T MR-linac and to identify the dominant factors affecting gating efficiency. The study focuses on the role of tracking surrogate sel...

MRI–only radiotherapy planning requires accurate synthetic CT (sCT) generation to enable dose calculation and patient positioning without a planning CT in Linac-based treatment delivery settings. While prior studies have demonstrated promising results for ind...

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...

Time-resolved volumetric MRI reconstructed from minimal k-space samples is critical for motion-adaptive radiotherapy to capture real-time deformable motion. We propose a Gaussian representation-based one-shot learning framework that models patient anatomy and...

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....

Diagnostic and Interventional Radiology Physics

Therapy Physics

Accurate lesion segmentation is fundamental to medical image analysis, yet most methods are tailored to specific anatomical sites or modalities, limiting their generalizability in diverse clinical settings. While recent vision-language foundation models enabl...

Existing volumetric MRI techniques are constrained by the trade-off between acquisition time and image quality, limiting accuracy in motion-impacted sites such as the liver. To enable fast and high-quality volumetric imaging with sufficient spatiotemporal res...

Accurate tumor segmentation is essential for adaptive radiation therapy (ART) but remains time-consuming, labor-intensive, and subject to considerable inter-user variations. Recent advances in foundation models, such as Segment Anything Model 2 (SAM2), show s...