A5100355204- Prostate Cancer Diagnosis and Treatment
- Medical Imaging and Analysis
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Gastrointestinal Bleeding Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- Gastrointestinal disorders and treatments
- Hip disorders and treatments
- Orthopaedic implants and arthroplasty
- Medical Image Segmentation Techniques
- MRI in cancer diagnosis
- Gastrointestinal Tumor Research and Treatment
- Advanced Neural Network Applications
- Neonatal and fetal brain pathology
- Effects of Radiation Exposure
- Cardiac Imaging and Diagnostics
- Soft Robotics and Applications
- Autopsy Techniques and Outcomes
- Abdominal Trauma and Injuries
- Trauma and Emergency Care Studies
- Boron Compounds in Chemistry
- Restless Legs Syndrome Research
- Lower Extremity Biomechanics and Pathologies
- 3D Shape Modeling and Analysis
The University of Queensland
2020-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
Peking Union Medical College Hospital
2023
Ministry of Education of the People's Republic of China
2023
Philips (China)
2022
Center for High Pressure Science & Technology Advanced Research
2022
National Institute of Hospital Administration
2022
Queensland University of Technology
2020-2021
Zhejiang University of Technology
2019
Shanghai University
2015
Purpose In search of reliable biologic markers to predict the risk normal tissue damage by radio(chemo)therapy before treatment, we investigated association between single nucleotide polymorphisms (SNPs) in transforming growth factor 1 (TGFβ1) gene and radiation pneumonitis (RP) patients with non–small-cell lung cancer (NSCLC). Patients Methods Using 164 available genomic DNA samples from NSCLC treated definitive radio(chemo)therapy, genotyped three SNPs TGFβ1 (rs1800469:C-509T,...
This study aimed to establish and compare the radiomics machine learning (ML) models based on non-contrast enhanced computed tomography (NECT) clinical features for predicting simplified risk categorization of thymic epithelial tumors (TETs).A total 509 patients with pathologically confirmed TETs from January 2009 May 2018 were retrospectively enrolled, consisting 238 low-risk thymoma (LRT), 232 high-risk (HRT), 39 carcinoma (TC), divided into training (n = 433) testing cohorts 76) according...
We evaluated the effects of acupuncture in patients with restless legs syndrome (RLS) by actigraph recordings. Among 38 RLS enrolled, 31 (M = 12, F 19; mean age, 47.2 ± 9.7 years old) completed study. Patients were treated either standard (n 15) or randomized 16) a single-blind manner for 6 weeks. Changes nocturnal activity (NA) and early sleep (ESA) between week 0 (baseline), 2, 4, assessed using leg recordings, International Restless Legs Syndrome Rating Scale (IRLSRS), Epworth Sleepiness...
Abstract Magnetic resonance imaging (MRI) is becoming increasingly important in precision radiotherapy owing to its excellent soft‐tissue contrast and versatile scan options. Many recent advances MRI have been shown be promising for MRI‐guided improved treatment outcomes. This paper summarizes these into six sections: simulators, MRI‐linear accelerator hybrid machines, MRI‐only workflow, four‐dimensional MRI, MRI‐based radiomics, magnetic fingerprinting. These techniques can implemented...
To track the movement of a wireless capsule, magnetic localization and orientation system is designed. In this system, permanent magnet enclosed in which generates field around. With sensor array arranged out human body, we can measure magnet's signals, compute capsule's 3D 2D parameters by applying an appropriate algorithm. paper, presented real time algorithm that consists Levenberg-Marquardt (LM) Least Squares Curve Fitting Method. The experimental results show has good accuracy, high...
To track the movement of a wireless capsule and get 6D localization orientation information capsule, magnetic system is designed. In this system, we propose to enclose two orthogonal permanent magnets in capsule. With sensor array arranged out human body, can measure magnets' signals, compute 3D 2D parameters by applying an appropriate algorithm. information, capsule's with paper, present new real time method for based on multi-magnets' method. The experimental results show that valid effective.
To track the movement of wireless capsule endoscope in human body, we design a magnetic localization and orientation system. In this system, contains permanent magnet as movable object. A wearable sensor array is arranged out body to capture signal. This composed sensors, Honeywell product HMC1043. The variations field intensity direction are related position orientation. Therefore, 3D information 2D parameters can be computed based on captured signals by applying an appropriate algorithm....
To automatically segment prostate central gland (CG) and peripheral zone (PZ) on T2-weighted imaging using deep learning assess the model's clinical utility by comparing it with a radiologist annotation analyzing relevant influencing factors, especially zonal volume.A 3D U-Net-based model was trained 223 patients from one institution tested internal testing group (n = 93) two external datasets, including public dataset (ETDpub, n 141) private centers (ETDpri, 59). The Dice similarity...
Non-invasive fetal ECG (NI-FECG) provides a non-invasive method to monitor the health of fetus. However, NI-FECG is easily interfered by noise, which makes signal quality decline, leading heart rate (FHR) monitoring becoming challenging task.In this work, an algorithm for dynamic evaluation proposed improve multi-channel FHR monitoring. The innovation assess in process QRS (FQRS) complexes detection. Specifically, detected FQRS used as unit. Each unit can be true R peak (TR) or false (FR)....
Zonal segmentation is important in the management of prostatic diseases. Many studies have demonstrated feasibility training CNN models for zonal segmentation. However, they lack validation non-public datasets and consideration patients’ characteristics. In this study, we validated model’s utility prostate on T2WI different external testing datasets. The model yielded good performance regardless variations clinicopathological showed higher than junior radiologist PZ Prostate morphology MR...
Biomechanical modeling methods can be used to predict deformations for medical image registration and particularly, they are very effective whole-body computed tomography (CT) because differences between the source target images caused by complex articulated motions soft tissues large. The biomechanics-based method needs deform using deformation field predicted finite element models (FEMs). In practice, global local coordinate systems in analysis. This involves transformation of coordinates...
Purpose Combining high‐resolution magnetic resonance imaging (MRI) with a linear accelerator (Linac) as single MRI‐Linac system provides the capability to monitor intra‐fractional motion and anatomical changes during radiotherapy, which facilitates more accurate delivery of radiation dose tumor less exposure healthy tissue. The gradient nonlinearity (GNL)‐induced distortions in MRI, however, hinder implementation image‐guided radiotherapy where highly geometry anatomy target is...
The location and orientation of the wireless capsule endoscope inside human body is very important for gastrointestinal (GI) examination. To satisfy requirement position gesture information endoscope, a magnetic localization system built. uses permanent magnet as excitation source to create field, consists sensor array, high performance analog multiplexers, precise low noisy instrumentation amplifiers, 16-bit analog-to-digital converter an ARM controller. field varies with magnet's detected...
Fiber orientation distribution (FOD) estimation with diffusion magnetic resonance imaging (dMRI) is critical in white matter fiber tractography which most commonly implemented by tracking the principal direction of FOD step step. Ambiguous spatial correspondences between estimated directions and geometry, such as crossing, fanning or bending, makes challenging. As a consequence, lot tracts suggest intertangled connections unexpected regions actually stop prematurely matter. In this work, we...
Purpose The hybrid system combining a magnetic resonance imaging (MRI) scanner with linear accelerator (Linac) has become increasingly desirable for tumor treatment because of excellent soft tissue contrast and nonionizing radiation. However, image distortions caused by gradient nonlinearity (GNL) can have detrimental impacts on real‐time radiotherapy using MRI‐Linac systems, where accurate geometric information tumors is essential. Methods In this work, we proposed deep convolutional neural...
Accurate whole prostate segmentation on magnetic resonance imaging (MRI) is important in the management of prostatic diseases. In this multicenter study, we aimed to develop and evaluate a clinically applicable deep learning-based tool for automatic T2-weighted (T2WI) diffusion-weighted (DWI).In retrospective 3-dimensional (3D) U-Net-based models were trained with 223 patients who underwent MRI subsequent biopsy from 1 hospital validated internal testing cohort (n=95) 3 external cohorts:...
Mesoporous boronate affinity adsorbents are of great promise in the enrichment small cis-diols from biological matrices based on size-exclusion effect. However, due to presence sites external surfaces mesopores, traditional materials has rather low anti-protein adsorption ability so that a protein precipitation process is necessarily accompanied, complicating sample preparation process. To solve this issue, work employed differential modification strategy internal and mesopores prepare new...