A5103179870- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Image and Signal Denoising Methods
- Optical Imaging and Spectroscopy Techniques
- Animal Nutrition and Physiology
- Bioinformatics and Genomic Networks
- Advanced Neuroimaging Techniques and Applications
- Simulation and Modeling Applications
- Machine Learning in Bioinformatics
- Retinal Imaging and Analysis
- Image Enhancement Techniques
- Meat and Animal Product Quality
- Mathematical Analysis and Transform Methods
- Thermography and Photoacoustic Techniques
- Access Control and Trust
- Medical Image Segmentation Techniques
- Ginseng Biological Effects and Applications
- Prosthetics and Rehabilitation Robotics
- Optical Coherence Tomography Applications
- Tea Polyphenols and Effects
- Multi-Agent Systems and Negotiation
- Advanced Neural Network Applications
Hunan University of Technology
2022-2024
Qufu Normal University
2013-2024
Data Assurance and Communication Security
2024
Northwest A&F University
2023
Wuhan Polytechnic University
2020-2023
State Forestry and Grassland Administration
2023
Southern Medical University
2018-2021
Air Force Medical University
2017-2019
Northeastern University
2015
Harbin Engineering University
2013
The usage of fermented soybean meal (FSBM) in poultry feed is limited due to the high cost. present study was conducted examine carcass traits and meat quality broiler chickens that were fed diets with partial replacement (SBM) FSBM. 336 one-day-old chicks assigned four groups 0% (control), 2.5%, 5.0%, 7.5% FSBM addition corn-SBM-based diets. Compared control, 2.5% 5.0% decreased leg muscle yield, breast drip loss, cooking loss (p < 0.05). increased ultimate pH thigh muscles, all treatments...
As is known, noises in calibrated and log-transformed projection data of low-mA (or low-dose) CT protocol follow approximately a non-stationary Gaussian distribution. In this study, we further demonstrate that some isolated noise points would not satisfy the above observation. Hence, propose reduction scheme which includes removal segmentation-based filtering. scheme, an algorithm first adopted to remove such remaining sinogram follows Secondly, image segmentation technique employed for...
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans have been major clinical concerns. The radiation can be reduced effectively via lowering x-ray tube current (mA). However, this strategy may lead to excessive noise streak artifacts conventional filtered back-projection reconstructed images. To address issue, some deep convolutional neural network (ConvNet) based approaches developed low-dose CT imaging inspired by recent development machine...
Necrotic enteritis (NE) is an important enteric inflammatory disease of poultry, and the effects vitamin A (VitA) on NE birds are largely unknown. The present study was conducted to investigate VitA immune responses metabolism broilers as well underlying mechanisms. Using a 2 × factorial arrangement, 336 1-day-old Ross 308 broiler chicks were randomly assigned 4 groups with 7 replicates. Broilers in control (Ctrl) group fed basal diet without extra supplementation. supplemented 12,000 IU/kg...
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures LdCT image adaptively may result poor preservation details/textures image. This paper aims explore a novel retrieval and representation paradigm, called adaptive assisted restoration algorithm, purpose better lung images by capturing from FdCT adaptively....
Photoacoustic computed tomography (PACT) has emerged as a unique and promising technology for multiscale biomedical imaging. To fully realize its potential various preclinical clinical applications, development of systems with high imaging speed, reasonable cost, manageable data flow are needed. Sparse-sampling PACT advanced reconstruction algorithms, such compressed-sensing reconstruction, shown solution to this challenge. However, most algorithms require iterative thus intense computation,...
Background: Low-dose computed tomography (LDCT) scans can effectively reduce the radiation damage to patients, but this is highly detrimental CT image quality. Deep convolutional neural networks (CNNs) have shown their potential in improving LDCT However, conventional CNN-based approaches rely fundamentally on convolution operations, which are ineffective for modeling correlations among nonlocal similar structures and regionally distinct statistical properties images. This deficiency hampers...
The unique advantage of optical-resolution photoacoustic microscopy (OR-PAM) is its ability to achieve high-resolution microvascular imaging without exogenous agents. This has excellent potential in the study tissue microcirculation. However, tracing and monitoring morphology hemodynamics tissues challenging because segmentation OR-PAM images complex due high density, structure complexity, low contrast vascular structures. Various microvasculature extraction techniques have been developed...
Multi-energy computed tomography (MECT) is able to acquire simultaneous multi-energy measurements from one scan. In addition, it allows material differentiation and quantification effectively. However, due the limited energy bin width, number of photons detected in an energy-specific channel smaller than that traditional CT, which results image quality degradation. To address this issue, work, we develop a statistical iterative reconstruction algorithm high-quality MECT images high-accuracy...
Cone-beam X-ray luminescence computed tomography (CB-XLCT) has been proposed as a new molecular imaging modality recently. It can obtain both anatomical and functional tomographic images of an object efficiently, with the excitation nanophosphors in vivo or vitro by cone-beam X-rays. However, ill-posedness CB-XLCT inverse problem degrades image quality makes it difficult to resolve adjacent luminescent targets different concentrations, which is essential monitoring nanoparticle metabolism...
Detecting genomes with similar expression patterns using clustering techniques plays an important role in gene data analysis. Non-negative matrix factorization (NMF) is effective method for the analysis of data. However, NMF-based performed within Euclidean space, and it usually inappropriate revealing intrinsic geometric structure space. In order to overcome this shortcoming, Cai et al. proposed a novel algorithm, called graph regularized non-negative matrices (GNMF). Motivated by...
Gait analysis is an important research direction of the exoskeleton robot design. The ability to quickly and accurately calculate each joint angle lower extremities during level walking directly affects accuracy on-line control performance robot. As a direct biological signal from brain, Surface Electromyography (sEMG) can reflect motion intention human body ahead muscle action. This paper presents General Regression Neural Network tuned by Genetic Algorithm (GA-GRNN) based knee prediction...
Purpose Low‐dose CT (LDCT) technique can reduce the x‐ray radiation exposure to patients at cost of degraded images with severe noise and artifacts. Non‐local means (NLM) filtering has shown its potential in improving LDCT image quality. However, currently most NLM‐based approaches employ a weighted average operation directly on all neighbor pixels fixed parameter throughout NLM process, ignoring non‐stationary nature images. In this paper, an adaptive scheme local principle neighborhoods...
Necrotic enteritis (NE) impairs poultry production and causes great economic loss. The nutritional regulation of diets has the potential to alleviate NE. present study was conducted investigate effects dietary supplementation with vitamin A (VA) on antioxidant intestinal barrier function broilers co-infected coccidia C. perfringens (CCP). In a 2 × factorial arrangement, 336 one-day-old Ross 308 were divided into four treatments two levels VA (0 or 12,000 IU/kg) challenged without CCP. animal...
. The textures and detailed structures in computed tomography (CT) images are highly desirable for clinical diagnosis. This study aims to expand the current body of work on details preserving convolutional neural networks low-dose CT (LDCT) image denoising task.
In CT images, tissue structures and lesion changes illustrate evident non-local self-similarity regionally constant properties. The low-rank model the learnable sparse representation are powerful tools that can respectively encode correlations among similar patches sparsity in a local transformed subspace about underlying image. Existing Model-Based Iterative Reconstruction (MBIR) methods generally adopt one of two models alone for reconstruction, which might suffer from modelling deficiency...