3 citations · 5 across the 3 of their papers we have counts for
4 papers
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
Yang Lei, Luke A. Matkovic, Justin Roper +6
This paper aims to create a deep learning framework that can estimate the deformation vector field (DVF) for directly registering abdominal MRI-CT images. The proposed method assum…
Dual-Energy Cone-Beam CT Using Two Complementary Limited-Angle Scans with A Projection-Consistent Diffusion Model
Junbo Peng, Chih-Wei Chang, Richard L. J. Qiu +5
Background: Dual-energy imaging on cone-beam CT (CBCT) scanners has great potential in different clinical applications, including image-guided surgery and adaptive proton therapy.…
Learning-Based Synthetic Dual Energy CT Imaging from Single Energy CT for Stopping Power Ratio Calculation in Proton Radiation Therapy
Serdar Charyyev, Tonghe Wang, Yang Lei +7
Purpose: Dual-energy CT (DECT) has been shown to derive stopping power ratio (SPR) map with higher accuracy than conventional single energy CT (SECT) by obtaining the energy depend…
Learning-Based Stopping Power Mapping on Dual Energy CT for Proton Radiation Therapy
Tonghe Wang, Yang Lei, Joseph Harms +8
Purpose: Dual-energy CT (DECT) has been used to derive relative stopping power (RSP) map by obtaining the energy dependence of photon interactions. The DECT-derived RSP maps could…