Results 331 to 340 of about 3,909,906 (397)
Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge+9 more
wiley +1 more source
Accounting for TLD response to CBCT protocols in external beam radiotherapy dose monitoring
Abstract Purpose LiF thermoluminescent dosimeters (TLDs) are commonly used in radiation therapy to verify the delivered dose. Examples include dose verification for complicated treatment setups or cardiovascular implantable electronic devices (CIEDs). TLDs may be present for both the pre‐treatment imaging kilovoltage (kV) beam and the megavoltage (MV ...
Andrew J. White+5 more
wiley +1 more source
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood+5 more
wiley +1 more source
Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes. [PDF]
Liu Z, Lu Z, Shan Y.
europepmc +1 more source
Feature Matching of Images [PDF]
SIFT method for the local description of images is introduced in this paper. After figuring out the various features of the images, this method is used to perform accurate comparison between different views of a scene or an object. The extracted characteristics are invariable to rotation of size, additional noise, change of light, cropped images ...
Aanchal Verna+3 more
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IEEE Transactions on Medical Imaging, 2023
Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
semanticscholar +1 more source
Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
semanticscholar +1 more source
XAI Feature Detector for Ultrasound Feature Matching
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Feature matching is a crucial component of computer vision that has various applications. With the emergence of Computer-Aided Diagnosis (CAD), the need for feature matching has also emerged in the medical imaging field. In this paper, we proposed a novel algorithm using the Explainable Artificial Intelligence (XAI) [1] approach to achieve feature ...
Zihao, Wang+3 more
openaire +2 more sources
Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning
IEEE transactions on circuits and systems for video technology (Print), 2022In underwater scenes, degraded underwater images caused by wavelength-dependent light absorption and scattering present huge challenges to vision tasks.
Qi Qi+6 more
semanticscholar +1 more source
LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching
IEEE Transactions on Geoscience and Remote Sensing, 2022Severe nonlinear radiation distortion (NRD) is the bottleneck problem of multimodal image matching. Although many efforts have been made in the past few years, such as the radiation-variation insensitive feature transform (RIFT) and the histogram of ...
Jiayuan Li+4 more
semanticscholar +1 more source