Respiratory motion models: a review
The problem of respiratory motion has proved a serious obstacle in developing techniques
to acquire images or guide interventions in abdominal and thoracic organs. Motion models …
to acquire images or guide interventions in abdominal and thoracic organs. Motion models …
GPU-based high-performance computing for radiation therapy
Recent developments in radiotherapy therapy demand high computation powers to solve
challenging problems in a timely fashion in a clinical environment. The graphics processing …
challenging problems in a timely fashion in a clinical environment. The graphics processing …
Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning
Tomographic imaging using penetrating waves generates cross-sectional views of the
internal anatomy of a living subject. For artefact-free volumetric imaging, projection views …
internal anatomy of a living subject. For artefact-free volumetric imaging, projection views …
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning
Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the
accuracy of radiotherapy is significantly compromised due to respiratory-induced …
accuracy of radiotherapy is significantly compromised due to respiratory-induced …
Cine cone beam CT reconstruction using low-rank matrix factorization: algorithm and a proof-of-principle study
Respiration-correlated CBCT, commonly called 4DCBCT, provides respiratory phase-
resolved CBCT images. A typical 4DCBCT represents averaged patient images over one …
resolved CBCT images. A typical 4DCBCT represents averaged patient images over one …
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 …
Software evolution observations based on product release history
H Gall, M Jazayeri, RR Klosch… - 1997 Proceedings …, 1997 - ieeexplore.ieee.org
Large software systems evolve slowly but constantly. In this paper, we examine the structure
of several releases of a telecommunication switching system (TSS) based on information …
of several releases of a telecommunication switching system (TSS) based on information …
On a PCA-based lung motion model
Respiration-induced organ motion is one of the major uncertainties in lung cancer
radiotherapy and is crucial to be able to accurately model the lung motion. Most work so far …
radiotherapy and is crucial to be able to accurately model the lung motion. Most work so far …