Results 51 to 60 of about 987,086 (294)
Abstract Objectives Bone grafting is commonly used to reconstruct skeletal defects in the craniofacial region. Several bone augmentation models have been developed to evaluate bone formation using novel bone substitute materials. The aim of this study was to evaluate a surgical animal model for establishing a three‐dimensional (3D) grafting environment
Mohammad Kamal+3 more
wiley +1 more source
The Influence of Tube Potential on Periodontal Bone Level Measurements and Subjective Image Quality Using a Digital Photostimulable Storage Phosphor Sensor [PDF]
Objectives: The purpose of the present study was to determine the measurement accuracy and subjective image quality for periodontal disease diagnosis when using two X-ray tube voltages with a digital photostimulable storage phosphor sensor.Material and ...
Reinhilde Jacobs, Bart Vandenberghe
doaj
Objectives: ‘Field of view (FOV) size’ affects the quality of radiographic images and the radiation dose received by patients. In cone-beam computed tomography (CBCT) FOV should be selected according to therapeutic purposes. While aiming for the highest
Sandra Mehralizadeh+2 more
doaj
Objectives: Efforts are made in radiographic examinations to obtain the best image quality with the lowest possible absorbed dose to the patient. In dental radiography, the absorbed dose to patients is very low, but exposures are relatively frequent.
Kristina Hellén-Halme, Mats Nilsson
doaj +1 more source
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising+11 more
wiley +1 more source
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models [PDF]
The latest breakthroughs in large vision-language models, such as Bard and GPT-4, have showcased extraordinary abilities in performing a wide range of tasks. Such models are trained on massive datasets comprising billions of public image-text pairs with diverse tasks.
arxiv
Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks
ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron+3 more
wiley +1 more source
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data [PDF]
In this paper, we present a deep learning-based image processing technique for extraction of bone structures in chest radiographs using a U-Net FCNN. The U-Net was trained to accomplish the task in a fully supervised setting. To create the training image pairs, we employed simulated X-Ray or Digitally Reconstructed Radiographs (DRR), derived from 664 ...
arxiv
Objective The National Institute of Health and Care Excellence (NICE) criteria for osteoarthritis (OA) obviate the need for physical examination or imaging, and their use may improve timely diagnosis of OA. However, they have not been validated. Methods Within a larger study of individuals with type 2 diabetes, participants with and without self ...
Lauren K. King+6 more
wiley +1 more source
Autogenous self‐healing of concrete: Experimental design and test methodsA review
Concrete exhibits an intrinsic ability to heal cracks, defined as “autogenous self‐healing.” However, despite code restrictions, autogenous self‐healing of concrete shows limited effectiveness in practice. This indicates the need for further research to provide engineers with reliable design rules.
Daniel Lahmann+2 more
wiley +1 more source