- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Radiation Therapy and Dosimetry
- Optical Systems and Laser Technology
- Medical Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Industrial Vision Systems and Defect Detection
- Advanced Sensor and Control Systems
- Medical Image Segmentation Techniques
- Advanced Electron Microscopy Techniques and Applications
- Advanced X-ray Imaging Techniques
- Advanced Measurement and Detection Methods
- Reinforcement Learning in Robotics
- Ideological and Political Education
- Robot Manipulation and Learning
- Advancements in Photolithography Techniques
- Innovative Teaching Methods
- X-ray Spectroscopy and Fluorescence Analysis
- Advanced Image Fusion Techniques
- Elevator Systems and Control
- Power Line Inspection Robots
- Advanced Adaptive Filtering Techniques
Southern Medical University
2012-2024
University of Cambridge
2024
University of California, San Diego
2012
To design and construct a three-dimensional (3D) anthropomorphic abdominal phantom for geometric accuracy dose summation evaluations of deformable image registration (DIR) algorithms adaptive radiation therapy (ART).Organ molds, including liver, kidney, spleen, stomach, vertebra, two metastasis tumors, were 3D printed using contours from an ovarian cancer patient. The organ molds molded with gels made different mixtures polyvinyl chloride (PVC) the softener dioctyl terephthalate. Gels...
Automatic multi-criteria optimization is necessary for intensity modulated radiation therapy (IMRT) because of low planning efficiency and large plan quality uncertainty in current clinical practice. Most studies focused on imitating dosimetrists' procedures to automate this process ignored the fact that organ-based objective functions typically used commercial treatment systems (such as dose-volume function) usually lead sub-optimal plans. To guarantee optimum results process, we...
Cone beam CT (CBCT) has been widely used in radiation therapy. However, its main application is still to acquire anatomical information for patient positioning. This study proposes a multienergy element-resolved (MEER) CBCT framework that employs energy-resolved data acquisition on conventional platform and then simultaneously reconstructs images of x-ray attenuation coefficients, electron density relative water (rED), elemental composition (EC) support advanced applications.The MEER-CBCT...
Metal artifacts caused by the presence of metallic implants tremendously degrade quality reconstructed computed tomography (CT) images and therefore affect clinical diagnosis or reduce accuracy organ delineation dose calculation in radiotherapy. Although various deep learning methods have been proposed for metal artifact reduction (MAR), most them aim to restore corrupted sinogram within trace, which removes beam hardening but ignores other components artifacts. In this paper, based on...
Intensity-modulated radiation therapy (IMRT) currently plays an important role in radiotherapy, but its treatment plan quality can vary significantly among institutions and planners. Treatment control (QC) is a necessary component for individual clinics to ensure that patients receive treatments with high therapeutic gain ratios. The voxel-weighting factor-based re-optimization mechanism has been proved able explore larger Pareto surface (solution domain) therefore increase the possibility...
GEC-ESTRO guidelines for high dose rate cervical brachytherapy advocate the reporting of D2cc (the minimum received by maximally exposed 2cc volume) to organs at risk. Due large interfractional organ motion, accurate cumulative over a multifractional course is non-trivial task requiring deformable image registration and summation. To efficiently accurately describe point-to-point correspondence bladder wall all treatment fractions while preserving local topologies, we propose novel graphic...
Talbot-Lau grating interferometry (GI) can conduct X-ray phase contrast imaging outside synchrotron facilities and simultaneously provide attenuation, differential contrast, small angle scattering information about samples, where periodically distributed line sources are required. In this study, we proposed a novel cold-cathode flat-panel source with micro-array anode target to generate such without using G0. Its cathode was composed of densely arranged zinc oxide (ZnO) nanowires, which...
Purpose: Multi‐energy computed tomography (MECT) is an emerging application in medical imaging due to its ability of material differentiation and potential for molecular imaging. In MECT, image correlations at different spatial channels exist. It desirable incorporate these reconstruction improve quality. For this purpose, study proposes a MECT technique that employes spectral non‐local means (ssNLM) regularization. Methods: We consider kVp‐switching scanning method which source energy...
To date, commercial 4D-CT systems typically depend on an external respiratory monitoring device. Immobilizing patients in a thermoplastic mask while receiving radiotherapy may result failure of reconstruction. The aim this study is to i
Purpose: Scatter artifacts severely degrade image quality of cone‐beam CT (CBCT). We present an ultrafast scatter correction framework by using GPU‐based Monte Carlo (MC) simulation and prior patient image, aiming at automatically finish the whole process including both reconstructions within 30 seconds. Methods: The method consists six steps: 1) FDK reconstruction raw projection data; 2) Rigid Registration planning to results; 3) MC calculation sparse view angles CT; 4) Interpolation...
The Monte Carlo (MC) method is an accurate technique for particle transport calculation due to the precise modeling of physical interactions. Nevertheless, MC still suffers from problem expensive computational cost, even with graphics processing unit (GPU) acceleration. Our previous works have investigated acceleration strategies photon simulation single-energy CT. But multi-energy CT, conventional individual leads unnecessary redundant calculation, consuming more time.
The X-ray phase contrast imaging using a Talbot–Lau grating interferometer (GI) can achieve high resolution of low-contrast objects such as soft tissues. periodic microstructured source is the key to achieving this technology. We have prepared vacuum-encapsulated cold cathode flat-panel (FPXS) zinc oxide (ZnO) nanowire field emitter arrays and microarrays Mo thin film transmission target. device has an operating voltage 40 kV current 684 μA. A radiation dose rate 428 μGy/s was measured at...
Multi-energy computed tomography (MECT) is a promising technique in medical imaging, especially for quantitative imaging. However, high technical requirements and system costs barrier its step into clinical practice.We propose novel sparse segmental MECT (SSMECT) scheme corresponding reconstruction method, which cost-efficient way to realize on conventional single-source CT. For the data acquisition, X-ray source controlled maintain an energy within arc, then switch alternately another...
Adaptive radiation therapy (ART) can reduce normal tissue toxicity and/or improve tumor control through treatment adaptations based on the current patient anatomy. Developing an efficient re-planning algorithm is important step for ART. For process, manual trial-and-error approach to fine-tune planning parameters a time- consuming and resource-requiring task. However, prior information in original plan, such as dose distribution or dose-volume histogram (DVH) be employed facilitate...
Artificial cochlear implant is a sort of device which used to restore normal hearing the profoundly deaf by electrical stimulation auditory nerve. This paper reviews Continuous Interleaved Sampling (CIS) strategy for implant, and simulate it in PC using Matlab. The audible sound implanter synthesized, preliminary analysis has also been done based on simulation. Experimental results show that CIS with 7~10 channels sufficient convey important signal cochlea physiology people.