- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Advanced Radiotherapy Techniques
- Cardiac Imaging and Diagnostics
- Radiation Detection and Scintillator Technologies
- Neural Networks and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray Imaging Techniques
- Advanced Sensor and Control Systems
- Atomic and Subatomic Physics Research
- Radiation Dose and Imaging
- Digital Radiography and Breast Imaging
- Medical Image Segmentation Techniques
- Advances in Oncology and Radiotherapy
- Time Series Analysis and Forecasting
- Particle Detector Development and Performance
Beijing University of Technology
2025
Xi'an Shiyou University
2023
Philips (United States)
2005-2015
St. Luke's Hospital
2011
University of Baltimore
2010
Johns Hopkins University
2004-2008
Philips (Finland)
2006
Philips has recently released the time-of-flight (TOF) PET/CT GEMINI-TF scanner. It uses 4 times 22 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> LYSO crystals, which 600 ps timing resolution, 12% energy resolution and 4.8 spatial resolution. This paper describes system design general approach of TOF reconstruction in Philips' A relaxed list mode ordered subset expectation maximization (LMOSEM) algorithm is used reconstruction, with...
Interactions of incident photons with the collimator and detector, including septal penetration, scatter x-ray fluorescence, are significant sources image degradation in applications SPECT dual isotope imaging using radioisotopes that emit high- or medium-energy photons. Modelling these interactions full Monte Carlo (MC) simulations is computationally very demanding. We present a new method based on use angular response functions (ARFs). The ARF function photon's direction energy represents...
The principle of Netrod TM Renal Denervation RF Generator is based on the heating radiofrequency electrodes to achieve therapeutic temperature for peripheral nerve ablation with minimal impact intra-arterial blood flow. extravascular heat distribution and continuous were evaluated using COMSOL Multiphysics an idealized 3D model validated in ex vivo experiment. safety was verified by H&E staining a hypertensive dog treatment group animal experiments, changes pressure before after...
Among Monte Carlo simulation codes in medical imaging, the GATE platform is widely used today given its flexibility and accuracy, despite long run times, which SPECT simulations are mostly spent tracking photons through collimators. In this work, a tabulated model of collimator/detector response was implemented within framework to significantly reduce times SPECT. This implementation uses angular function (ARF) model. The performance ARF approach has been compared standard terms tables'...
Simultaneous acquisition of /sup 99m/Tc stress and 201/Tl rest myocardial perfusion SPECT has several potential advantages, but the image quality is degraded by crosstalk between Tc Tl data. We have previously developed a model that includes estimates downscatter Pb X-ray for use in compensation. In this work, we validated comparing from to window calculated using combination SimSET-MCNP Monte Carlo simulation codes. also evaluated model-based compensation method both simulated data 3-D MCAT...
The goal of this paper was to evaluate the effects collimator penetration and scatter on myocardial SPECT image quality. We chose two designs: a LEHR for GE Millennium VG with longer bore thicker septa, Siemens E.CAM shorter thinner septa. These collimators have similar resolution properties, but very different fractions. In particular, has higher detection efficiency. used Monte Carlo (MC) simulation simulate projection data from three-dimensional (3-D) NCAT phantom. For each collimator, we...
We have previously developed a model-based method to compensate for the crosstalk in simultaneous acquisition of Tc-99m stress and Tl-201 rest myocardial perfusion SPECT. The purpose this study is evaluate performance terms defect detection task using mathematical Channelized Hoteling Observer (CHO) study. In we also optimized iteration number reconstruction Tl distributions. A population male female NCAT phantoms were used realistically model variation patients. Both defect-free...
In PET brain imaging, patient motion can contribute significantly to the degradation of image quality potentially leading diagnostic and therapeutic problems. To mitigate artifacts resulting from motion, must be detected tracked then provided a correction algorithm. Existing techniques track fall into one two categories: 1) image-derived approaches 2) external tracking (EMT). Typical EMT requires patients have markers in known pattern on rigid too attached their head, which are by expensive...
In SPECT Monte Carlo simulations, the tracking process of photons inside collimator is a very tedious and computationally demanding task. For example in case low energy parallel-hole only one thousand penetrating surface will be detected. an attempt to significantly decrease time associated with we implemented within GATE methodology designed by X. Song et al which relies on use Angular Response Function (ARF) for collimator/detector system. The refers spatial distribution detected given...
Purpose: RapidArc treatments combine features of IMRT and arc treatments. It may be a superior treatment technique for stereotactic body radiation therapy (SBRT) in both improved dose distribution as well patient comfort reduction motion due to rapid delivery. This is study the QA verification results on 15 spine 9 lung patients treated with SBRT since August 2009. Methods: Treatements were delivered Varian Trilogy upgrade. Plans generated used 6 MV photons utilizing Eclipse software. Most...
During the work of equipment, controlling parameter should be derived from multi one-dimensional time serial signals. Aiming at this requirement, a novel kind AU-TL-RES (augment transfer learning residual) neural network is proposed. And its algorithm also introduced. This can identify input signals and output control parameter. includes data transformed layer, convolutional fully connected layer ALEXNET base network. recognize by transferring introducing modified residual module. A spatial...