A5100690429- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Neurological Disease Mechanisms and Treatments
- Dental Radiography and Imaging
- Neuroinflammation and Neurodegeneration Mechanisms
- Seismic Imaging and Inversion Techniques
- Antioxidant Activity and Oxidative Stress
- Radiomics and Machine Learning in Medical Imaging
- Reservoir Engineering and Simulation Methods
InferVision (China)
2022-2024
The University of Texas Southwestern Medical Center
2023
North Sichuan Medical University
2021
Nanchong Central Hospital
2021
The dose of X-ray radiation and the scanning time are crucial factors in computed tomography (CT) for clinical applications. In this work, we introduce a multi-source static CT imaging system designed to rapidly acquire sparse view limited angle data imaging, addressing these critical factors. This linear inverse problem is solved by conditional generation process within denoising diffusion image reconstruction framework. noisy volume sample generated reverse projected onto affine set ensure...
In this study, we investigated the neuroprotective effects of lycopene (Lyc) on vascular dementia (VaD) gerbils and its related mechanisms anti-inflammatory, anti-apoptotic anti-oxidant activity. Gerbils were treated with bilateral common carotid arteries. Animals divided into 1) Sham, 2) VaD model, 3) model + Lyc (20 mg/kg) groups. Each group (3) was administered intergalactic twice a day for 28 days. Morris water mazes used to evaluate learning memory ability. Nissl, NeuN, GFAP staining...
Abstract Background Improving imaging speed has always been the focus of research in CT technology, which is related to radiation dose and quality moving organs, including heart blood vessels. However, it difficult achieve further improvement by increasing rotation gantry due its structural strength limitation. Differing from conventional CTs, static employs dozens ray sources acquire projection data different angular ranges, each source only needs be rotated a small range finish full 360°...
Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning. In this paper, we propose FDNet, a Feature Decoupled Segmentation Network, to excel in the face of variable dental conditions encountered CBCT scans, such as complex artifacts and indistinct tooth boundaries. The Low-Frequency Wavelet Transform (LF-Wavelet) employed enrich semantic content by emphasizing global structural integrity teeth, while SAM encoder leveraged refine...