A5062682047- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Advanced X-ray Imaging Techniques
- Advanced MRI Techniques and Applications
- Medical Image Segmentation Techniques
- Nanoplatforms for cancer theranostics
- Nanoparticle-Based Drug Delivery
- Advanced Image Processing Techniques
- Nanocluster Synthesis and Applications
- Image Processing Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Computer Graphics and Visualization Techniques
- Voice and Speech Disorders
- Multiple Myeloma Research and Treatments
- Image and Signal Denoising Methods
- Photoacoustic and Ultrasonic Imaging
- Advanced Nanomaterials in Catalysis
- Digital Image Processing Techniques
- Image Processing and 3D Reconstruction
- 3D Shape Modeling and Analysis
- Luminescence Properties of Advanced Materials
- Dysphagia Assessment and Management
- Cleft Lip and Palate Research
- Wireless Power Transfer Systems
Southeast University
2015-2025
State Key Laboratory of Digital Medical Engineering
2012-2024
Zhongda Hospital Southeast University
2024
Southeast University
2017-2019
University of Hawaiʻi at Mānoa
2005
Nanosized drug delivery systems have offered promising approaches for cancer theranostics. However, few are effective to simultaneously maximize tumor-specific uptake, imaging, and therapy in a single nanoplatform. Here, we report simple yet stimuli-responsive anethole dithiolethione (ADT)-loaded magnetic nanoliposome (AML) system, which consists of ADT, hydrogen sulfide (H2S) pro-drug, doped the lipid bilayer, superparamagnetic nanoparticles encapsulated inside. HepG2 cells could be...
Limited-angle CT is a challenging problem in real applications. Incomplete projection data will lead to severe artifacts and distortions reconstruction images. To tackle this problem, we propose novel framework termed Deep Iterative Optimization-based Residual-learning (DIOR) for limited-angle CT. Instead of directly deploying the regularization term on image space, DIOR combines iterative optimization deep learning based residual domain, significantly improving convergence property...
Cancer treatment has a far greater chance of success if the neoplasm is diagnosed before onset metastasis to vital organs. Hence, cancer early diagnosis extremely important and remains major challenge in modern therapeutics. In this contribution, facile new method for rapid multimodal tumor bioimaging reported by using biosynthesized iron complexes gold nanoclusters via simple introduction AuCl4- Fe2+ ions. The observations demonstrate that Au may act as fluorescent computed tomography...
Metal‐organic frameworks possess tremendous potential in biomedical areas for their particular structure. In this study, the authors explored Fe 2+ ‐adsorbed nanoscaled zeolitic imidazolate framework‐8 (ZIF‐8) vivo multimodal imaging of cancerous cells early diagnosis target cancers. The observations demonstrate that adding into suspension ZIF‐8 can neutralize alkalinity and lower toxicity, while readily transform to fluorescence ZnO super paramagnetic 3 O 4 under synergistic reaction ROS,...
Cone-beam CT (CBCT) with irregular trajectories has been widely used in various fields such as clinical medicine and scientific research. Precise geometric calibration is a crucial prerequisite for determining the imaging quality of these systems. Current primary methods rely on highly accurate phantoms complex patterns. However, to reduce reliance manufacturing specialized equipment, common alternative method use well-calibrated CBCT system matching resolution measure phantom. when...
Abstract In recent years, deep learning (DL)-based automatic view classification of 2D transthoracic echocardiography (TTE) has demonstrated strong performance, but not fully addressed key clinical requirements such as coverage, accuracy, inference delay, and the need for thorough exploration performance in real-world settings. We proposed a requirement-driven DL framework, TTESlowFast, accurate efficient video-level TTE classification. This framework is based on SlowFast architecture...
Abstract Background End‐to‐end automatic detection of cardiac phase in multibeat echocardiograms is crucial for measuring parameters clinical scenarios. However, existing studies face limitations due to the high cost data annotation and collection, time‐consuming processes. Purpose This study introduces a novel echocardiographic network, EchoPhaseNet, perform fast accurate variable‐length sequences, with low costs limited data. Materials methods Five datasets were used this study, including...
To investigate the effects of anti-ABCG2 monoclonal antibodies (mAbs) in combination with paclitaxel iron oxide nanoparticles (PTX-NPs) on CD138(-)CD34(-) multiple myeloma (MM) cancer stem cells (CSCs) JJN3 cells.PTX-NPs were prepared using hydrophobic interaction polyoxypropylene chain and oleic acid surface NPs targeted to ABCG2 transporter overexpressing MM CSCs mAbs.The data showed that have strong drug resistance tumorigenicity compared non-MM CSCs. PTX-NPs combined mAbs led a...
Limited-angle CT is an indispensable tool for some practical applications when the projection data can be only collected within a limited-angle range due to constraints of scanning conditions. However, mode will lead severely degraded images with excessive artifacts. Meanwhile, existing methods fail reconstruct satisfactory in because unguaranteed measurement consistency caused by serious missing. In this paper, we developed method termed Single-shot Projection Error Correction Integrated...
Cone-beam (CB) CT is a powerful noninvasive imaging modality, and widely used in many applications. Accurate geometric parameters are essential for high-quality image reconstruction. Usually, CBCT system with higher spatial resolution, particularly on the order of microns or nanometers, will be more sensitive to parametric accuracy. Here, we propose novel calibration method combining simple phantom containing ball bearing markers an advanced optimization procedure. This can applied...
Computer-aided detection (CAD) systems provide useful tools and an advantageous process to physicians aiming detect lung nodules. This paper develops a method composed of four processes for nodule detection. The first step employs image acquisition pre-processing techniques isolate the lungs from rest body. second stage involves segmentation using 2D algorithm affect every layer scan eliminating non-informative structures inside lungs, 3D blob associated with connectivity select possible...
Objective.Metal artifact reduction (MAR) has been a key issue in CT imaging. Recently, MAR methods based on deep learning have achieved promising results. However, when deploying learning-based real-world clinical scenarios, two prominent challenges arise. One limitation is the lack of paired training data real applications, which limits practicality supervised methods. Another that image-domain suitable for more application scenarios are inadequate performance while end-to-end approaches...
The interior problem, a persistent ill-posed challenge in CT imaging, gives rise to truncation artifacts capable of distorting values, thereby significantly impacting clinical diagnoses. Traditional methods have long struggled effectively solve this issue until the advent supervised models built on deep neural networks. However, are constrained by need for paired data, limiting their practical application. Therefore, we propose simple and efficient unsupervised method based Cycle-GAN...
Scintillator is a critical component to detect high‐energy particles or rays, which widely used in deep space exploration, security inspection, and nondestructive testing medical diagnosis, such as X‐ray imaging computed tomography (CT). However, the wider application of traditional inorganic organic scintillators limited by complex operation process poor adaptability changeable environment, there remains demand develop green stable with high sensitivity low detection limit. Herein, one‐step...
// Cuiping Yang 1, * , Fei Xiong 2, Jun Dou Xue 3 Xi Zhan 4 Fangfang Shi 5 Miao Li 1 Songyan Wu Shouhua Luo 2 Tianzhu Zhang Yu Ji Ming Ning Gu Department of Pathogenic Biology and Immunology, School Medicine & Collaborative Innovation Center Suzhou NanoScience Technology, Southeast University, Nanjing 210009, China Biological Science Medical Engineering 210096, Hematology, Affiliated First Hospital, 210006, The for Vascular Inflammatory Diseases, Pathology, University Maryland Medicine,...
Dual-energy computed tomography (DECT) is of great clinical significance because it can simultaneously visualize the internal structure scanned object and provide material-specific information. DECT obtains two attenuation measurements same at different X-ray spectra, resulting in obvious redundant In this context, article suggests acquiring dual-energy projection data using complementary incomplete scans utilizes a pretrained Prior-Net to generate artifact-free prior image. Then image fed...
The goal of this investigation was to evaluate the inhibiting effect high proportion polyethyleneglycol long-circulating homoharringtonine liposomes on RPMI8226 multiple myeloma cancer stem cells. CD138-CD34- cells isolated from cell line using magnetic activated sorting system were, respectively, incubated with optimized formulation and in vitro, proliferation, colony formation, cycle were analyzed. inhibition growth investigated non-obese-diabetic/severe-combined-immunodeficiency mice that...
Poor chip solder joints can severely affect the quality of finished printed circuit boards (PCBs). Due to diversity joint defects and scarcity anomaly data, it is a challenging task automatically accurately detect all types in production process real time. To address this issue, we propose flexible framework based on contrastive self-supervised learning (CSSL). In framework, first design several special data augmentation approaches generate abundant synthetic, not good (sNG) from normal...
Abstract The rising demand for clinical diagnosis tools has led to extensive research on multimodal bioimaging systems. Unlike single‐modal detection, imaging not only can provide both function and structure information but also address the issue of sensitivity, depth, cost. Despite enormous efforts, conventional step‐by‐step procedures obtaining pose a significant constraint their practical applications. In this work, X‐rays as highly penetrating radiation is proposed single‐irradiation...