A5057105337- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Image and Signal Denoising Methods
- AI in cancer detection
- Advanced X-ray and CT Imaging
- Medical Image Segmentation Techniques
- Radiomics and Machine Learning in Medical Imaging
- Cancer Genomics and Diagnostics
- Single-cell and spatial transcriptomics
- Corneal surgery and disorders
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Glaucoma and retinal disorders
- Software System Performance and Reliability
- Generative Adversarial Networks and Image Synthesis
- Radiation Dose and Imaging
- Service-Oriented Architecture and Web Services
- Manufacturing Process and Optimization
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Advanced Image Processing Techniques
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Ophthalmology and Visual Impairment Studies
- Cell Image Analysis Techniques
University of Illinois Urbana-Champaign
2019-2025
Washington University in St. Louis
2015-2024
Inner Mongolia University
2009-2024
Changchun University
2023-2024
Changchun University of Science and Technology
2009-2024
Urbana University
2021-2023
South China Agricultural University
2021-2023
University of California, San Francisco
2018-2023
University of Lethbridge
2002-2022
Xinjiang University
2022
Image registration and fusion algorithms exist in almost every software system that creates or uses images radiotherapy. Most treatment planning systems support some form of image to allow the use multimodality time-series data even anatomical atlases assist target volume normal tissue delineation. Treatment delivery perform between in-room acquired during patient positioning. Advanced applications are beginning daily dose assessment enable adaptive radiotherapy using propagate contours...
Abstract Existing approaches to evaluate cell viability involve staining with chemical reagents. However, the step of exogenous makes these methods undesirable for rapid, nondestructive, and long-term investigation. Here, we present an instantaneous assessment unlabeled cells using phase imaging computation specificity. This concept utilizes deep learning techniques compute markers associated specimen measured by label-free quantitative imaging. Demonstrated on different live cultures,...
Abstract Purpose: MicroRNA (miRNA) expression profiles improve classification, diagnosis, and prognostic information of malignancies, including lung cancer. This study uncovered unique growth-suppressive miRNAs in Experimental Design: miRNA arrays were done on normal tissues adenocarcinomas from wild-type proteasome degradation-resistant cyclin E transgenic mice to reveal repressed Real-time semiquantitative reverse transcription-PCR as well situ hybridization assays validated these...
Purpose This study aims to characterize the performance of a prototype rapid kilovoltage (kV) x‐ray image guidance system onboard newly released Halcyon 2.0 linear accelerator (Varian Medical Systems, Palo Alto, CA) by use conventional and innovatively designed testing procedures. Methods Basic imaging tests radiation dose measurements were performed for all eleven kV‐cone beam computed tomography (CBCT) protocols available on preclinical LINAC. Both CBCT reconstruction using...
In recent years, there has been an increasing demand on efficient algorithms for large scale change point detection problems. To this end, we propose seeded binary segmentation, approach relying a deterministic construction of background intervals, called in which single points are searched. The final selection based the candidates from intervals can be done various ways, adapted to problem at hand. Thus, segmentation is easy adapt wide range problems, let that univariate, multivariate or...
We sought to investigate the relationship between blood–brain barrier (BBB) permeability and microstructural white matter integrity, their potential impact on long-term functional outcomes in patients with acute ischemic stroke (AIS). studied 184 AIS subjects perfusion-weighted MRI (PWI) performed <9 h from last known well time. White hyperintensity (WMH), infarct, PWI-derived mean transit time lesion volumes were calculated. Mean BBB leakage rates (K2 coefficient) diffusivity values...
A variety of deep neural network (DNN)-based image denoising methods have been proposed for use with medical images. Traditional measures quality (IQ) employed to optimize and evaluate these methods. However, the objective evaluation IQ DNN-based remains largely lacking. In this work, we performance by task-based measures. Specifically, binary signal detection tasks under signal-known-exactly (SKE) background-known-statistically (BKS) conditions are considered. The ideal observer (IO) common...
Hip prosthesis is one of the most common types metal implants and can cause significant artifacts in computed tomography (CT) examinations. The purpose this work was to develop a projection-based method for reducing caused by hip prostheses multislice helical CT.The proposed based on novel concept, reformatted projection, which formed combining projection data at same view angle over full longitudinal scan range. Detection segmentation were performed each image. Two dimensional interpolation...
Local noise power spectra (NPS) have been commonly calculated to represent the properties of CT imaging systems, but their are significantly affected by utilized calculation schemes. In this study, effects varied parameters on local NPS were analyzed, and practical suggestions provided regarding estimation for clinical scanners. The uniformity module a Catphan phantom was scanned with Philips Brilliance 64 slice simulator scanning protocols. Images reconstructed using FBP iDose4 iterative...
Purpose: To characterize the performance of onboard imaging unit for first clinical magnetic resonance image guided radiation therapy (MR‐IGRT) system. Methods: The characterization included four components: ACR (the American College Radiology) phantom test, spatial integrity, coil signal to noise ratio (SNR) and uniformity, field homogeneity. test was performed in accordance with guidance. integrity evaluated using a 40.8 × cm 3 phantom. MR computed tomography (CT) images were acquired...
Purpose: The purpose of this article was to evaluate intraocular pressure (IOP) changes and investigate the relationship with corneal biomechanics after small-incision lenticule extraction (SMILE) femtosecond laser-assisted laser in situ keratomileusis (FS-LASIK). Methods: A total 193 eyes patients who underwent SMILE FS-LASIK procedures were included retrospective study. Data collected preoperatively postoperatively, including Goldmann-correlated IOP (IOPg), corneal-compensated (IOPcc),...
Purpose: The clinical commissioning of IMRT subject to a magnetic field is challenging. purpose this work develop GPU‐accelerated Monte Carlo dose calculation platform based on penelope and then use the validate vendor‐provided MRIdian head model toward quality assurance treatment plans 0.35 T field. Methods: was first translated from fortran c++ result confirmed produce equivalent results original code. code adapted cuda in workflow optimized for GPU architecture. expanded include voxelized...
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<div>Abstract<p>The rapid development of spatial transcriptomics (ST) technologies has enabled transcriptome-wide profiling gene expression in tissue sections. Despite the emergence single-cell resolution platforms, most ST sequencing studies still operate at a multicell resolution. Consequently, deconvolution cell identities within spots become imperative for characterizing cell-type–specific organization. To this end, we developed Spatial Deconvolution Explorer (SpatialDeX),...