A5100359179- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Nuclear Physics and Applications
- 3D Surveying and Cultural Heritage
- Esophageal Cancer Research and Treatment
- Vacuum and Plasma Arcs
- Cerebrovascular and Carotid Artery Diseases
- Tissue Engineering and Regenerative Medicine
- Acute Ischemic Stroke Management
- Plasma Applications and Diagnostics
- Electrospun Nanofibers in Biomedical Applications
- Robotics and Sensor-Based Localization
- Neurological Disease Mechanisms and Treatments
- Remote Sensing and LiDAR Applications
- Graphene and Nanomaterials Applications
- Radiation Detection and Scintillator Technologies
- Plasma Diagnostics and Applications
- Head and Neck Cancer Studies
Tsinghua University
2019-2024
Peking University
2020-2023
Memorial Sloan Kettering Cancer Center
2023
Peking University Cancer Hospital
2020-2023
Harbin University of Science and Technology
2023
University of Notre Dame
2017
Dalian University of Technology
2016
Background and purposeMinimizing acute esophagitis (AE) in locally advanced non-small cell lung cancer (LA-NSCLC) is critical given the proximity between esophagus tumor. In this pilot study, we developed a clinical platform for quantification of accumulated doses volumetric changes via weekly Magnetic Resonance Imaging (MRI) adaptive radiotherapy (RT).Material methodsEleven patients treated intensity-modulated RT to 60–70 Gy 2–3 Gy-fractions with concurrent chemotherapy underwent MRIs....
Automated segmentation of the esophagus is critical in image-guided/adaptive radiotherapy lung cancer to minimize radiation-induced toxicities such as acute esophagitis. We have developed a semantic physics-based data augmentation method for segmenting both planning CT (pCT) and cone beam (CBCT) using 3D convolutional neural networks. One hundred ninety-one cases with their pCTs CBCTs from four independent datasets were used train modified U-Net architecture multi-objective loss function...
Objective. The Compton cameras have been researched for medical applications and radioactive material detection. It is challenging the camera to realize high-resolution reconstruction when incident photon energy below 200 keV. However, multiple kinds of nuclear radionuclides are in this range, such as201Tl,67Ga,99mTc, and123I. In work, we propose an improved probabilistic model with correction detector resolution, spatial Doppler broadening effect. proposed used numerical calculation system...
A gliding arc discharge, as a source of warm plasma combining advantages both thermal and cold plasmas, would have promising application prospects in the fields fuel conversion, combustion enhancement, material synthesis, surface modifications, pollution control, etc. In order to gain insight into features an alternating-current discharge plasma, three dimensionless factors, i.e., extinction span (ψ), current lag (δ), heating (χ) factors are proposed this letter based on measured waveforms...
Current benchtop x-ray fluorescence computed tomography (XFCT) devices, which use tubes to stimulate (XRF) photons, suffer from the contamination of Compton scatter background produced by polychromatic incident beam. The conventional maximum-likelihood expectation-maximization (ML-EM) algorithm only considers noise model XRF signal, results in high statistical reconstructed images caused scattered photons. In this study, we proposed a scattering enhanced EM-TV for XFCT image reconstruction...
<title>Abstract</title> Objective To investigate the association between cerebral small vessel disease burden and early neurological deterioration (END) in stroke patients with isolated pontine infarction. Methods A total of 107 acute infarct within 24 hours symptoms onset were included from a comprehensive center, mean age is 67 years old. Cerebral on brain MRI including white matter hyperintensities (WMH), lacunes, microbleeds (CMB), enlarged perivascular spaces (EPVS) evaluated each...
Current benchtop X-ray fluorescence computed tomography (XFCT) system, which uses polychromatic x-ray source produced by conventional tubes, suffers from statistical noise caused Compton scatter background. As the scattered photons is difficult to be removed and will contaminate XRF signal, a model based reconstruction algorithm might necessary for XFCT image reconstruction. In our previous study, we presented an EM iteration on Poisson model. The estimation of background signal was updated...
As a novel molecular biomedical imaging modality, X-ray fluorescence CT (XFCT) has made great progress in recent years, e.g., from synchrotron radiation source to general tube, pencil-beam fan-beam even cone-beam imaging. At present, one of the core tasks XFCT research is improve its sensitivity so as be able detect lesion information with lower contrast agent concentration. In this respect, and single-pixel spectrometer high energy resolution obvious advantages. However, current scanning...
To solve the problems of holes, noise, and texture information missing in traditional incremental reconstruction complex surface objects, a 3D method depth image fusion dense point clouds is proposed, feature creation combined to obtain model that takes into account main body details reconstructed object. First, mechanism based on patch-based multiview stereo (PMVS) algorithm analyzed. Combined with principle view angle selection images, cloud density performed. Then, value optimized by...
Abstract Metastatic microenvironments are spatially and compositionally heterogeneous. This seemingly stochastic heterogeneity provides researchers great challenges in elucidating factors that determine metastatic outgrowth. Herein, we develop implement an integrative platform will enable to obtain novel insights from intricate landscapes. Our two-segment begins with whole tissue clearing, staining, imaging globally delineate landscape spatial molecular resolution. The second segment of our...
This work proposes an attenuation correction method for x-ray fluorescence computed tomography (XFCT). The phantom is irradiated by a polychromatic cone-beam source produced conventional tube. X-ray (XRF) photons are stimulated the incident beam and then collected photon counting detector placed on one side of beamline. A flat-panel along beamline detection information. For quantitative reconstruction XFCT images, as well XRF in estimated utilizing transmission CT images. Simulation results...
Automated segmentation of esophagus is critical in image guided/adaptive radiotherapy lung cancer to minimize radiation-induced toxicities such as acute esophagitis. We developed a semantic physics-based data augmentation method for segmenting both planning CT (pCT) and cone-beam (CBCT) using 3D convolutional neural networks. 191 cases with their pCT CBCTs from four independent datasets were used train modified 3D-Unet architecture multi-objective loss function specifically designed...