- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Advanced X-ray Imaging Techniques
- Traditional Chinese Medicine Studies
- Healthcare and Venom Research
- Digital Radiography and Breast Imaging
- Acute Ischemic Stroke Management
- Traditional Chinese Medicine Analysis
- Acupuncture Treatment Research Studies
- Cancer-related molecular mechanisms research
- Photoacoustic and Ultrasonic Imaging
- Advanced MRI Techniques and Applications
- Cancer, Hypoxia, and Metabolism
- Nuclear Physics and Applications
- Neurological Disease Mechanisms and Treatments
- X-ray Spectroscopy and Fluorescence Analysis
- Nitric Oxide and Endothelin Effects
- Dental Radiography and Imaging
- Potassium and Related Disorders
- Anesthesia and Neurotoxicity Research
- Cerebrovascular and Carotid Artery Diseases
- Optical measurement and interference techniques
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Cervical Cancer and HPV Research
Southeast University
2022-2025
302 Military Hospital of China
2014-2024
University of Wisconsin–Madison
2017-2022
First Affiliated Hospital of Henan University
2022
Weatherford College
2020
University of New Orleans
2018
Jiangyin People's Hospital
2015
Jilin Medical University
2012-2015
Zhenjiang City Fourth People's Hospital
2015
Xian Yang Central Hospital
2015
Introduction Platelet indices, including mean platelet volume (MPV), are readily available blood tests, although their prognostic value in patients with septic shock has not been fully explored. Current evidence found contradictory results. This study aims to explore the behavior of indices and clinical value. Methods Charts from January December 2012 a tertiary medical center Northern China were reviewed retrospectively. recorded during first five consecutive days after admission, as well...
Cone-beam CT (CBCT) with irregular trajectories has been widely used in various fields such as clinical medicine and scientific research. Precise geometric calibration is a crucial prerequisite for determining the imaging quality of these systems. Current primary methods rely on highly accurate phantoms complex patterns. However, to reduce reliance manufacturing specialized equipment, common alternative method use well-calibrated CBCT system matching resolution measure phantom. when...
Orthopedic spine disease is one of the most common diseases in clinic. The diagnosis spinal orthopedic injury an important basis for treatment diseases. Due to complexity structure, doctors usually need rely on CT image data accurate diagnosis. In some cases, such as poor areas or emergency situations, it difficult make diagnoses using only 2D x-ray images due lack 3D imaging equipment time crunch. Therefore, approach based needed solve this problem. paper, a novel reconstruction technique...
In Computed Tomography (CT) imaging, the ring artifacts caused by inconsistent detector response can significantly degrade reconstructed images, having negative impacts on subsequent applications. The new generation of CT systems based photon-counting detectors are affected more severely. flexibility and variety responses make it difficult to build a well-defined model characterize artifacts. this context, study proposes global dependency-enhanced dual-domain parallel neural network for Ring...
Sparse-view Computed Tomography (CT) has the ability to reduce radiation dose and shorten scan time, while severe streak artifacts will compromise anatomical information. How reconstruct high-quality images from sparsely sampled projections is a challenging ill-posed problem. In this context, we propose unrolled Deep Residual Error iterAtive Minimization Network (DREAM-Net) based on novel iterative reconstruction framework synergize merits of deep learning reconstruction. DREAM-Net performs...
Low-dose computed tomography (LDCT) imaging faces great challenges. Although supervised learning has revealed potential, it requires sufficient and high-quality references for network training. Therefore, existing deep methods have been sparingly applied in clinical practice. To this end, paper presents a novel Unsharp Structure Guided Filtering (USGF) method, which can reconstruct CT images directly from low-dose projections without clean references. Specifically, we first employ low-pass...
Due to the potential harmful risks caused by excessive X-ray radiation dose, low-dose has emerged as one of major rules computed tomography (CT) for clinical applications. However, reducing dose severely leads degraded reconstructed CT image quality with noises and artifacts, it may seriously hamper diagnosis. Currently, model-driven deep learning (DL)-based dual-domain expert knowledge can reconstruct images from projections acquired in non-ideal conditions, they have been demonstrated...
Abstract Background: The pathogenesis of cervical spondylotic is degenerative changes the intervertebral disc, or bone hyperplasia posterior and hook joints, instability joints vertebrae. It causes nerve roots to be stimulated oppressed. clinical manifestations are sensation, movement, reflex disorder spinal that oppressed, especially numbness pain neck, shoulders, upper limbs, fingers. In this systematic review, we aimed evaluate efficacy safety acupuncture chiropractic in treatment...
Modern interventional x-ray systems are often equipped with flat-panel detector-based cone-beam CT (FPD-CBCT) to provide tomographic, volumetric, and high spatial resolution imaging of devices, iodinated vessels, other objects. The purpose this work was bring an interchangeable strip photon-counting detector (PCD) C-arm supplement (instead retiring) the existing FPD-CBCT a quality, spectral, affordable PCD-CT option. With minimal modification C-arm, <inline-formula> <tex-math...
Large-area photon counting detectors (PCDs) are usually built by tiling multiple semiconductor panels that often have slightly different spectral responses to input x-rays. As a result of this inconsistency, experimental PCD-CT images large, human-sized objects may show high-frequency ring artifacts and low-frequency band artifacts. Due the much larger width bands compared with rings, concentric artifact problem in cannot be adequately addressed conventional CT correction methods. This work...
While CTA is an established clinical gold standard for imaging large cerebral arteries and veins, important challenge that currently remains its limited performance in small perforating with diameters below 0.5 mm. The purpose of this work was to theoretically experimentally study the potential benefits using photon counting detector (PCD)-based CT (PCCT) improve these arteries. In particular, focused on component image package known as maximum intensity projection (MIP) image. To help...
Non-contrast CT (NCCT) is widely employed as the first-line imaging test to evaluate intracranial hemorrhage (ICH). Advances in mutidetector (MDCT) technology have greatly improved image quality of NCCT for detection established, relatively large, and acute ICHs. Meanwhile, reliability MDCT detecting microbleeds chronic hemorrhage, predicting hemorrhagic transformation needs be further improved. The purpose this work was investigate potential use non-spectral photon counting (PCCT) address...
Objective.X-ray scatter leads to signal bias and degrades the image quality in Computed Tomography imaging. Conventional real-time estimation correction methods include kernel superposition (SKS) methods, which approximate x-ray field as a convolution of sources propagation kernels reflect spatial spreading photons. SKS are fast implement but generally suffer from low accuracy due difficulties determining kernels.Approach.To address such problem, this work describes new method by combining...
Inter-pixel communication and anti-charge sharing (ACS) technologies have been introduced to photon counting detector (PCD) systems address the undesirable charge problem. In addition improving energy resolution of PCD, ACS may also influence other aspects PCD performance such as multiplicity (i.e. number pixels triggered by each interacted photon) detective quantum efficiency (DQE). this work, a theoretical model was developed how impacts zero-frequency DQE [DQE(0)] systems. The work...
Hepatocellular carcinoma (HCC) is the most common neoplasm and a leading cause of cancer-related death. Despite advances in diagnosis management HCC, its prognosis remain unfavorable. Accumulating evidence has shown that long intergenic noncoding RNAs (lincRNAs) play central roles development HCC. In this study, we identified RNA referred to as lincRNA P7 HCC explored clinical significance biological functions The expression level was significantly aberrantly deceased cancer tissues cells...
When more than two elemental materials are present in a given object, material quantification may not be robust and accurate when the routine two-material decomposition scheme current dual energy CT imaging is employed. In this work, we an innovative to accomplish three-material with measurements from differential phase contrast (DE-DPC-CT) acquisition. A DE-DPC-CT system was constructed using grating interferometer photon counting bins. The can simultaneously measure both imaginary real...
Spectral CT can provide material characterization ability to offer more precise information for diagnosis purposes. However, the decomposition process generally leads amplification of noise which significantly limits utility basis images. To mitigate such problem, an image domain suppression method was proposed in this work. The performs transformation images based on a singular value decomposition. variances original spectral were incorporated matrix be decomposed ensure that transformed...