A5100668199- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- Medical Image Segmentation Techniques
- Elasticity and Material Modeling
- ECG Monitoring and Analysis
- Advanced X-ray and CT Imaging
- Radiation Detection and Scintillator Technologies
- Cardiac Imaging and Diagnostics
- Fault Detection and Control Systems
- Radiomics and Machine Learning in Medical Imaging
- Functional Brain Connectivity Studies
- Ultrasound Imaging and Elastography
- Image Retrieval and Classification Techniques
- Sparse and Compressive Sensing Techniques
- Electrical and Bioimpedance Tomography
- Numerical methods in engineering
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- AI in cancer detection
- Model Reduction and Neural Networks
- Biomedical Text Mining and Ontologies
- Gaze Tracking and Assistive Technology
- Cell Image Analysis Techniques
Jiangnan University
2025
Chaohu University
2024
Henan University of Science and Technology
2024
Computer Network Information Center
2023
Chinese Academy of Sciences
2023
University of Chinese Academy of Sciences
2023
MRC Unit for Lifelong Health and Ageing
2023
University College London
2023
Erasmus University Rotterdam
2023
Erasmus MC
2023
Creatinine-to-albumin ratio (CAR) has been recognized as a predictive indicator in the postoperative setting. However, its relationship with outcomes patients receiving cardiac surgery remains elusive. This study aimed to discuss link between CAR and 28-day mortality admitted intensive care unit (ICU) following surgery, hoping provide some insights for targeted interventions improvement of patient outcomes. MIMIC-IV database was searched obtain data ICU surgery. Retrieved were split into...
Personalized noninvasive imaging of subject-specific cardiac electrical activity can guide and improve preventive diagnosis treatment arrhythmia. Compared to body surface potential (BSP) recordings electrophysiological information reconstructed on heart surfaces, volumetric myocardial transmembrane (TMP) dynamics is greater clinical importance in exhibiting arrhythmic details arrythmogenic substrates inside the myocardium. This paper presents a physiological-model-constrained statistical...
Proposes and validates the hypothesis that one can use differential shape properties of myocardial surfaces to recover dense field motion from standard three-dimensional (3-D) image sequences (MRI CT). Quantitative measures left ventricular regional function be further inferred point correspondence maps. The noninvasive, algorithm-derived results are validated on two levels. First, trajectories compared those implanted imaging-opaque markers a canine model in imaging modalities, where...
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- interrater variability. Automated rating may benefit biomedical research, as well clinical assessment, diagnostic reliability existing algorithms unknown. Here, we present the results VAscular Lesions DetectiOn Segmentation (Where VALDO?) challenge that was run a satellite event at international conference Medical...
Myocardial infarction (MI) creates electrophysiologically altered substrates that are responsible for ventricular arrhythmias, such as tachycardia and fibrillation. The presence, size, location, composition of infarct scar bear significant prognostic therapeutic implications individual subjects. We have developed a statistical physiological model-constrained framework uses noninvasive body-surface-potential data tomographic images to estimate subject-specific transmembrane-potential (TMP)...
Cerebral glucose metabolism is a reliable index of neural activity and may provide evidence for brain function in healthy adults. We studied the correlation between cerebral age under resting-state both sexes with position emission tomography. Statistical test effect on was performed using statistical parametric mapping software voxel-by-voxel approach ( family wise error corrected, -voxel threshold). The subjects consisted 108 females (mean S.D. = 4510 years) 126 males 4911 years). showed...
Accurate and robust reconstruction of the radioactivity concentration is great importance in positron emission tomography (PET) imaging. Given Poisson nature photo-counting measurements, we present a framework that integrates sparsity penalty on dictionary into maximum likelihood estimator. Patch-sparsity provides regularization for our effort, iterative procedures are used to solve function formulated statistics. Specifically, formulation, could be trained CT images, provide intrinsic...
The prominent advantage of meshfree method, is the way to build representation computational domain, based on nodal points without any explicit meshing connectivity. Therefore, method can conveniently process numerical computation inside interested domains with large deformation or inhomogeneity. In this paper, we adopt idea into cardiac medical image analysis in order overcome difficulties caused by and inhomogeneous materials heart. our implementation, as element-free Galerkin efficiently...
Purpose In recent years, the incidence of cardiovascular disease has continued to rise, and early screening prevention are especially critical. Phonocardiography (PCG) electrocardiography (ECG), as simple, cost-effective non-invasive tests, important tools for clinical analysis. However, it is difficult fully reflect complexity system using PCG or ECG tests alone. Combining multimodal signals can provide complementary information improve detection accuracy. Therefore, purpose this paper...
Low dose positron emission tomography(PET) reconstruction remains a challenging issue for statistical PET methods due to the low SNR of data. Due ill-conditioning image reconstruction, proper prior knowledge should be incorporated constrain reconstruction. Since images are piecewise smoothing, we propose total variational (TV) minimization based algorithm imaging. The fundamental power this strategy rests with edge locations important features tend preserved thanks TV regularization. In...
Understanding and characterizing perceptual expertise is a major bottleneck in developing intelligent systems. In knowledge-rich domains such as dermatology, influences the diagnostic inferences made based on visual input. This study uses eye movement data from 12 dermatology experts undergraduate novices while they inspected 34 dermatological images. work investigates differences global local temporal fixation patterns between two groups using recurrence quantification analysis (RQA). The...
The linearized filtering approach to the hemodynamic system is limited in capturing inherent nonlinearities of physiological systems. nonlinear estimation method therefore should be thought as a natural way access data assimilation problem. In this paper, we present algorithm which computationally expensive compared existing linearization algorithms, for assimilation, address deficiencies linearization. Simultaneous states and parameters have been demonstrated simulated real data. provides...
The <i>Journal of Biomedical Optics</i> (JBO) is a Gold Open Access journal that publishes peer-reviewed papers on the use novel optical systems and techniques for improved health care biomedical research.
Human perceptual expertise has significant influence on medical image inspection. However, little is known regarding whether experts differ in their cognitive processing or what effective visual strategies they employ for examining images. To remedy this, we conduct an eye tracking experiment and collect both movement verbal description data from three groups of subjects with different training levels. Each subject examines describes 42 photographic dermatological We then develop a...
Although of great clinical value, accurate and robust reconstruction segmentation dynamic positron emission tomography (PET) images are challenges due to low spatial resolution high noise. In this paper, we propose a unified framework that exploits temporal correlations variations within image sequences based on low-rank sparse matrix decomposition. Thus, the two separate inverse problems, PET segmentation, accomplished in simultaneous fashion. Considering signal noise ratio piece-wise...
A comprehensive three-dimensional (3-D) shape-based approach for quantification of regional myocardial deformations was evaluated in a canine model (n = 8 dogs) with the use cine magnetic resonance imaging. The shape endocardial and epicardial surfaces used to track 3-D trajectories dense field points over cardiac cycle. surface displacements are integrated continuum biomechanics incorporating myofiber architecture estimate both cardiac- fiber-specific strains shears 24 left ventricular...
During heart failure (HF) at the cellular level, electrophysiological properties of single myocytes get remodeled, which can trigger occurrence ventricular arrhythmias that could be manifested in many forms such as early afterdepolarizations (EADs) and alternans (ALTs). In this paper, based on experimentally observed human HF data, specific ionic exchanger current strengths are modified from a recently developed cell model: O'Hara-Virág-Varró-Rudy (OVVR) model. A new transmural HF-OVVR model...
Deep learning models have achieved state-of-the-art performance in semantic image segmentation, but the results provided by fully automatic algorithms are not always guaranteed satisfactory to users. Interactive segmentation offers a solution accepting user annotations on selective areas of images refine results. However, most existing only focus correcting current image's misclassified pixels, with no knowledge carried over other images. In this work, we formulate interactive as continual...
The recent advances in meaningful constraining models have resulted increasingly useful quantitative information recovered from cardiac images. Nevertheless, as most frameworks utilize either functional or structural images, the analyses cannot benefit complementary provided by other image sources. To better characterize subject-specific physiology and pathology, data fusion of multiple sources is essential. Traditional strategies are performed fusing commensurate images through various...