A5100779388- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Photoacoustic and Ultrasonic Imaging
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Sparse and Compressive Sensing Techniques
- Numerical methods in inverse problems
- Tracheal and airway disorders
- Chemotherapy-related skin toxicity
- Human Mobility and Location-Based Analysis
- Pediatric health and respiratory diseases
- Medical Research and Treatments
- Antibiotic Use and Resistance
- Venous Thromboembolism Diagnosis and Management
- Advanced Vision and Imaging
- Nosocomial Infections in ICU
- Cancer, Hypoxia, and Metabolism
- Central Venous Catheters and Hemodialysis
- Gastrointestinal Tumor Research and Treatment
- Colorectal Cancer Treatments and Studies
- Pneumonia and Respiratory Infections
- Image and Signal Denoising Methods
- Digital Marketing and Social Media
- Optical measurement and interference techniques
- Thermography and Photoacoustic Techniques
Huaiyin Normal University
2024
The First People's Hospital of Changde
2024
Chongqing Normal University
2019-2024
Anyang University
2024
Hanyang University
2024
Shandong Maternal and Child Health Hospital
2022
Shandong First Medical University
2022
University of Electronic Science and Technology of China
2017-2019
Chongqing University
2018
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine
2013
Accurate images reconstructed from limited computed tomography (CT) data are desired when reducing the X-ray radiation exposure imposed on patients. The total variation (TV), known as l1-norm of image gradient magnitudes, is popular in CT reconstruction incomplete projection data. However, collected a sparse-view scanning angular range, results by TV-based method suffer blocky artifact and gradual changed artifacts near edges, which turn make degraded. Different TV, ℓ0-norm an counts number...
In the real applications of computed tomography (CT) imaging, projection data scanned objects are usually acquired within a limited-angle range because limitation scanning condition. Under these circumstances, conventional analytical algorithms, such as filtered back-projection (FBP), do not work incomplete. The regularization method has proven to be effective for tomographic reconstruction from under-sampled measurements. To deal with CT problem, is commonly used, but it difficult find...
Limited-angle computed tomography (CT) reconstruction problem is an ill-posed inverse problem. Currently, regularized CT reconstructions are usually considered by incorporating the total variation (TV) norm of image into data fidelity term. However, reconstructed images may be degraded using TV-based minimization method with limited-angle artifacts. In recent years, theory wavelet tight frame has been well developed and some advantages in preserving sharp features as smoothness. To further...
Due to the restriction of scanning environment and energy X-ray, few projections an object can be obtained in some practical applications computed tomography (CT).In these situations, projection data are incomplete inconsistent, conventional analytic algorithm such as filtered backprojection (FBP) will not work.The streak artifacts significantly reduced few-view reconstruction if total variation minimization (TVM) based CT is used.However, premise preserving resolution image, it effectively...
Although congenital heart defect (CHD) was the dominating birth defect, time trend analysis of CHD largely unknown. In our study, from 2005 to 2020 in Jinan conducted, aimed reveal epidemiological characteristics a city and provided data basis for government make policy intervention.A multi-institutional retrospective review all births January 1, December 31, performed. Proportioner prevalence used describe distribution CHD. Comparisons among different groups were assessed with Chi-squares...
The limited-angle projection data of an object, in some practical applications computed tomography (CT), are obtained due to the restriction scanning condition. In these situations, since incomplete, artifacts will be presented near edges reconstructed image using classical reconstruction algorithms, such as filtered backprojection (FBP). can fine approximated by sparse coefficients under a proper wavelet tight frame, and quality improved available prior image. To deal with CT problem, we...
Accurate CT images are expected to be obtained from low-dose/limited projection data. In this work, an ℓ0 sparse regularization based optimization model was investigated for few-view CT. With the aim effectively solve model, original problem transformed following framework of iterative reconstruction on alternating direction (ADM) method. Experiments demonstrated validate efficiency proposed algorithm.
. Limited-angle x-ray computed tomography (CT) is a typical ill-posed inverse problem, leading to artifacts in the reconstructed image due incomplete projection data. Most iteration CT reconstruction methods involve optimization for single object. This paper explores multi-objective model and an interactive method based on suppress of limited-angle CT.
Iterative reconstruction (IR) methods that can incorporate filtering or regularization techniques have received widespread attention in many situations. Total variation (TV) has proven to be a powerful tool suppress streak artifacts and noise for sparse-view computed tomography (CT) over 360°. However, with under-sampled projection data from limited-view (e.g. half-view) CT scanning, where the projections are further reduced, edge structures partly blurred, some (such as blocky artifacts)...
Computed tomography (CT) has its irreplaceable function in nondestructive testing and medical diagnosis. In some practical CT imaging applications, the limited-angle scanning is common due to X-ray's potential harm human limitation of conditions. Under these circumstances, analytic reconstruction algorithms, like filtered backprojection (FBP), will not obtain satisfactory results because lacking projection data. Iterative (IR) methods that can incorporate prior knowledge have attracted...
Abstract The limited-angle computed tomography (CT) reconstruction problem is an ill-posed inverse problem, and the parameter selection for CT iteration a difficult issue in practical application. In this paper, to alleviate instability of automatize process, we propose adaptive method that regularization chosen adaptively via plot normalized wavelet coefficients fitting residual versus <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>ℓ</m:mi> <m:mn>0</m:mn> </m:msub>...
Accurate computed tomography (CT) reconstruction from incomplete projections is an important research topic. Sparse sampling and limited-angle are two effective ways to reduce the X-ray radiation dose or scanning time. However, it technically complicated realize sparse in medical CT since tube power pre-patient collimator difficult be switched frequently. Limited-angle makes reconstruct accurate image. The developed multiple limited-angles (MLA) scheme could well balance technical...
In some practical applications of computed tomography (CT) imaging, the projections an object are obtained within a limited-angle range due to restriction scanning environment. this situation, conventional analytic algorithms, such as filtered backprojection (FBP), will not work because incomplete. An image reconstruction algorithm based on total variation minimization (TVM) can significantly reduce streak artifacts in sparse-view reconstruction, but it effectively suppress slope when...
Nano-computed tomography (nano-CT), which utilizes X-rays to research the inner structure of some small objects and has been widely utilized in biomedical research, electronic technology, geology, material sciences, etc., is a high spatial resolution non-destructive technique. A traditional nano-CT scanning model with very mechanical precision stability object manipulator, difficult reach when scanned continuously rotated, required for imaging. To reduce time attain stable imaging industrial...
Abstract Restricted by the practical applications and radiation exposure of computed tomography (CT), obtained projection data is usually incomplete, which may lead to a limited-angle reconstruction problem. Whereas reconstructing an object from views challenging ill-posed inverse Fortunately, regularization methods offer effective way deal with that. Recently, several researchers are absorbed in <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>ℓ</m:mi> <m:mn>1</m:mn>...
The purpose of this paper is to design and simulate a new computed tomography (CT) system with high temporal resolution for dynamic objects. We propose multisource cubical CT (MCCT) X-ray tubes detectors installed on cube. Carbon nanotube- (CNT-) based focal spots are distributed the twelve edges distribution completely avoids mechanical movements scan an object under inspection. CNTs excellent electron field emitters because use “cold” cathode makes it possible fabricate multiple emission...