A5100701054- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Advanced Radiotherapy Techniques
- Dental Radiography and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Detection and Scintillator Technologies
- Electron Spin Resonance Studies
- Phonocardiography and Auscultation Techniques
- Breast Cancer Treatment Studies
- Ideological and Political Education
- Forest, Soil, and Plant Ecology in China
- ECG Monitoring and Analysis
- Atomic and Subatomic Physics Research
- Breast Lesions and Carcinomas
- Motor Control and Adaptation
- Text Readability and Simplification
- Soft Robotics and Applications
- Nuclear Physics and Applications
- Advanced Fluorescence Microscopy Techniques
- EEG and Brain-Computer Interfaces
- Dental Implant Techniques and Outcomes
- Semantic Web and Ontologies
- Photoacoustic and Ultrasonic Imaging
University of Chicago
2016-2025
Tsinghua University
2024
Tokyo University of Foreign Studies
2023
University of Jinan
2022
Southwest Petroleum University
2016
University of Chicago Medical Center
2016
Nanjing University of Posts and Telecommunications
2015
Motion Control (United States)
2013
Liaoning Meteorological Bureau
2011
State Administration of Foreign Experts Affairs
2009
Optimization-based algorithms for image reconstruction in multispectral (or photon-counting) computed tomography (MCT) remains a topic of active research. The challenge optimization-based MCT stems from the inherently non-linear data model that can lead to non-convex optimization program which no mathematically exact solver seems exist achieving globally optimal solutions. In this work, based upon model, we design program, derive its first-order-optimality conditions, and propose an...
This survey presents a comprehensive analysis of the phenomenon hallucination in multimodal large language models (MLLMs), also known as Large Vision-Language Models (LVLMs), which have demonstrated significant advancements and remarkable abilities tasks. Despite these promising developments, MLLMs often generate outputs that are inconsistent with visual content, challenge hallucination, poses substantial obstacles to their practical deployment raises concerns regarding reliability...
Increasing interest in optimization-based reconstruction research on, and applications of, cone-beam computed tomography (CBCT) exists because it has been shown to have potential reduce artifacts observed reconstructions obtained with the Feldkamp–Davis–Kress (FDK) algorithm (or its variants), which is used extensively for image current CBCT applications. In this work, we carried out a study on possible reduction of FDK specifically from short-scan data. The investigation includes set...
Abstract Objective: Accurate image reconstruction from data with truncation in X-ray computed tomography (CT) remains a topic of research interest; and the works reported previously literature focus largely on reconstructing an only within scanning field-of-view (FOV). We develop algorithms to invert model for accurate entire subject support or region slightly smaller than support. Methods: formulate as optimization program, which includes hybrid constraints total variation (TV) L1-norm...
Interest remains in reconstruction-algorithm research and development for possible improvement of image quality current PET imaging enabling innovative systems to enhance existing, facilitate new, preclinical clinical applications. Optimization-based reconstruction has been demonstrated recent years potential utility CT In this work, we investigate tailoring the optimization-based techniques with standard non-standard scan configurations. Specifically, given an image-total-variation (TV)...
We investigate an optimization-based reconstruction, with emphasis on image-artifact reduction, from data collected in C-arm cone-beam computed tomography (CBCT) employed image-guided interventional procedures. In the study, image to be reconstructed is formulated as a solution convex optimization program which weighted divergence minimized subject constraint total variation (TV); data-derivative fidelity introduced specifically for effectively suppressing dominant, low-frequency artifact...
Purpose We seek to investigate an optimization‐based one‐step method for image reconstruction that explicitly compensates nonlinear spectral response (i.e., the beam‐hardening effect) in dual‐energy CT, feasibility of enabling two partial‐angular‐scan configurations, referred as short‐ and half‐scan on standard CT scanners without involving additional hardware, potential configurations reducing imaging dose scan time a single‐kVp‐switch full‐scan configuration which full rotations are made...
Interest exists in dual-energy computed tomography (DECT) imaging with scanning arcs of limited-angular ranges (LARs) for reducing scan time and radiation dose, enabling configurations C-arm CT that can avoid possible collision between the rotating X-ray tube/detector imaged subject.In this work, we investigate image reconstruction a type practical DECT interest, referred to as two-orthogonal-arc configuration, which low- high-kVp data are collected over two non-overlapping equal LAR α,...
Abstract A process based on biomass gasification integrated with a dual chemical looping technology, namely, air separation and iron‐based combustion, is proposed to investigate the performance of hydrogen electricity cogeneration from thermodynamic perspective. The effects four vital ratios, steam biomass, oxygen Fe 2 O 3 carbon, flue gas Mn , performances this are investigated. Meanwhile, T – Q diagram involved in validation feasibility heat‐exchange networks process. In parallel, system...
In dual-energy computed tomography (DECT), low- and high-kVp data are collected often over a full-angular range (FAR) of 360°. While there exists strong interest in DECT with acquired limited-angular ranges (LARs), remains little investigation image reconstruction LAR data.Objective: we investigate minimized artifacts from LARs ≤180° by using directional-total-variation (DTV) algorithm.Methods: is formulated as convex optimization problem which data-ℓ2is constraints on image's DTVs along...
In order to improve the performance of wavelet analysis in process heart sound signals, this paper, we construct a basis which is exclusively used for processing signals on theory construction. Firstly, propose general method constructing compactly supported biorthogonal has even length filter banks, Secondly, according characteristics discuss structure principle and synthesis model based wavelets. Finally, basis. highlight advanced nature practical application numerical simulation are...
Computed tomography (CT) scanning over limited-angular ranges (LARs) is of practical interest in possible reduction imaging dose and time design nonstandard scans. This work aims to investigate image reconstruction for two nonoverlapping arcs LARs, demonstrate that they may allow more accurate than a single arc LAR.We consider configuration with LARs α1$\alpha _1$ α2$\alpha _2$ , whose centers are separated by 90∘$90^\circ$ refer it as two-orthogonal-arc configuration. Data generated from...
Docking is an essential function for reconfigurable planetary robot system (RPRS), it supports almost all metamorphic characteristics of the system. This paper presents a space docking method self-reconfigurable modular The adopts position sensory detector (PSD) to get geometrical relation between child robots. By using kinematics and inverse modeling robot, control algorithm developed achieve dock automatically. To validate method, simulation experiments were done on platform based OPENGL,...
In this work, we investigate and characterize optimization-based image reconstruction from list-mode TOFPET data collected by using a digital TOF-PET scanner with reduced detectors, while seeking possibly to maintain the quality volume coverage. particular, focused on two patterns of sparse configurations, in both which total number crystals is 50% corresponding clinical scanner. The problem configurations formulated as solution an image-TV-constrained, data-KLminimization optimization...