Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …
radiotherapy has faced significant research and development efforts in recent years. The …
Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling
Objective. Real-time imaging is highly desirable in image-guided radiotherapy, as it
provides instantaneous knowledge of patients' anatomy and motion during treatments and …
provides instantaneous knowledge of patients' anatomy and motion during treatments and …
Real-time liver tumor localization via combined surface imaging and a single x-ray projection
Objective. Real-time imaging, a building block of real-time adaptive radiotherapy, provides
instantaneous knowledge of anatomical motion to drive delivery adaptation to improve …
instantaneous knowledge of anatomical motion to drive delivery adaptation to improve …
2D/3D non-rigid image registration via two orthogonal X-ray projection images for lung tumor tracking
Two-dimensional (2D)/three-dimensional (3D) registration is critical in clinical applications.
However, existing methods suffer from long alignment times and high doses. In this paper, a …
However, existing methods suffer from long alignment times and high doses. In this paper, a …
Four-dimensional cone beam ct imaging using a single routine scan via deep learning
A novel method is proposed to obtain four-dimensional (4D) cone-beam computed
tomography (CBCT) images from a routine scan in patients with upper abdominal cancer …
tomography (CBCT) images from a routine scan in patients with upper abdominal cancer …
Real‐time liver motion estimation via deep learning‐based angle‐agnostic X‐ray imaging
Background Real‐time liver imaging is challenged by the short imaging time (within
hundreds of milliseconds) to meet the temporal constraint posted by rapid patient breathing …
hundreds of milliseconds) to meet the temporal constraint posted by rapid patient breathing …
An unsupervised 2D–3D deformable registration network (2D3D-RegNet) for cone-beam CT estimation
Y Zhang - Physics in Medicine & Biology, 2021 - iopscience.iop.org
Acquiring CBCTs from a limited scan angle can help to reduce the imaging time, save the
imaging dose, and allow continuous target localizations through arc-based treatments with …
imaging dose, and allow continuous target localizations through arc-based treatments with …
Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR)
Objective. Dynamic cone-beam CT (CBCT) imaging is highly desired in image-guided
radiation therapy to provide volumetric images with high spatial and temporal resolutions to …
radiation therapy to provide volumetric images with high spatial and temporal resolutions to …
Automatic liver tumor localization using deep learning‐based liver boundary motion estimation and biomechanical modeling (DL‐Bio)
Purpose Recently, two‐dimensional‐to‐three‐dimensional (2D‐3D) deformable registration
has been applied to deform liver tumor contours from prior reference images onto estimated …
has been applied to deform liver tumor contours from prior reference images onto estimated …
Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical …
Dimensional cone-beam computed tomography (4D-CBCT) offers several key advantages
over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring …
over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring …