A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery
J Minnema, A Ernst, M van Eijnatten… - Dentomaxillofacial …, 2022 - academic.oup.com
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …
interventions and has therefore become an increasingly popular treatment modality in …
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning-A Review
M Amirian, D Barco, I Herzig, FP Schilling - Ieee Access, 2024 - ieeexplore.ieee.org
Deep learning based approaches have been used to improve image quality in cone-beam
computed tomography (CBCT), a medical imaging technique often used in applications such …
computed tomography (CBCT), a medical imaging technique often used in applications such …
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 …
[HTML][HTML] 4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+ t X-ray projections
Abstract Background and Objective In radiotherapy treatment planning, respiration-induced
motion introduces uncertainty that, if not appropriately considered, could result in dose …
motion introduces uncertainty that, if not appropriately considered, could result in dose …
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 …
In-vivo lung biomechanical modeling for effective tumor motion tracking in external beam radiation therapy
Lung cancer is the most common cause of cancer-related death in both men and women.
Radiation therapy is widely used for lung cancer treatment; however, respiratory motion …
Radiation therapy is widely used for lung cancer treatment; however, respiratory motion …
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy
Abstract Four-dimensional imaging (4D-imaging) plays a critical role in achieving precise
motion management in radiation therapy. However, challenges remain in 4D-imaging such …
motion management in radiation therapy. However, challenges remain in 4D-imaging such …
Artificial intelligence to generate synthetic CT for adaptive particle therapy
Abstract Recently, Artificial Intelligence (AI) methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …
computed tomography (sCT) have received significant research attention as an alternative to …
An adaptive X‐ray dynamic image estimation method based on OMNI solar wind parameters and SXI simulated observations
RC Wang, AM Jorgensen, D Li, T Sun, Z Yang… - Space …, 2024 - Wiley Online Library
Observations of the overall interactions between solar wind and the Earth's magnetosphere
are crucial for space weather monitoring. Upcoming missions like the Solar Wind …
are crucial for space weather monitoring. Upcoming missions like the Solar Wind …
Motion compensated cone-beam CT reconstruction using an a priori motion model from CT simulation: a pilot study
Objective. To combat the motion artifacts present in traditional 4D-CBCT reconstruction, an
iterative technique known as the motion-compensated simultaneous algebraic …
iterative technique known as the motion-compensated simultaneous algebraic …