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Automated PET Quantification of [18F]FDG PET Images for Neurodegenerative Disorders Research
Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) are important tools for the study of neurodegenerative diseases. Existing...
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A Pilot Genome-Wide Association Study of Brain Glucose Metabolism Levels in Alzheimer’s Disease Based on 18F-FDG PET
18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) could detect glucose metabolism in various brain regions and reflect brain neuronal...
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Patients undergoing multiple 18F-FDG PET/CT scans: frequency, clinical indications, and cumulative dose
ObjectiveTo assess frequency, clinical indications, and cumulative effective dose (CED) of patients undergoing multiple 18 F-FDG PET/CT imaging.
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EGFR Mutation Prediction Using F18-FDG PET-CT Based Radiomics Features in Non-small Cell Lung Cancer
Lung cancer is the leading cause of cancer death in the world. Accurate determination of the EGFR (epidermal growth factor receptor) mutation status...
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Preparation, Characterisation, and Properties of Anti-erosion Grouting Materials from Industrial Solid Waste
To address the environmental problems caused by the storage of solid waste, such as red mud (RM), silica fume (SF), carbide slag (CS), and flue gas...
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Classification of Alzheimer’s Disease from 18F-FDG and 11C-PiB PET Imaging Biomarkers Using Support Vector Machine
PurposeAlzheimer’s disease (AD) is the most common type of dementia, and its early diagnosis has become a crucial issue. Machine learning provides a...
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Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status
BackgroundThis study aimed to develop a pipeline for selecting the best feature engineering-based radiomic path to predict epidermal growth factor...
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Automatic Classification of Lymph Node Metastasis in Non-Small-Cell Lung Cancer (NSCLC) Patient on F-18-FDG PET/CT
Lung Cancer is a leading cause of death worldwide, and about 85% of lung cancer is non-small cell lung cancer (NSCLC). The staging of lymph nodes in...
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Explication of crossroads order based on Randic index of graph with fuzzy information
Connectivity measures real energization state of manifold applications and user interference in many criteria-based network systems. Randic index is...
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A Metabolic Intravascular Platform to Study FDG Uptake in Vascular Injury
PurposeMetabolic alterations underlie many pathophysiological conditions, and their understanding is critical for the development of novel therapies....
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LNMER-Net: A Metabolically Enhanced Lymph Node Metastasis Recognition Model Based on Lung Lymph Nodes and Microenvironment
PET/CT is the preferred device for lung cancer and lymph node metastasis diagnosis, and mining effective features from PET/CT images to identify lung...
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Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
PurposeThis paper is a systematic literature review of the use of artificial intelligence techniques to detect early dementia. It focuses on...
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MARS for Molecular Imaging and Preclinical Studies
Spectral photon-counting CT (SPCCT) offers quantitative, high-resolution molecular imaging using intrinsic biomarkers and introduced non-radioactive...
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Spatial map** of tumor heterogeneity in whole-body PET–CT: a feasibility study
BackgroundTumor heterogeneity is recognized as a predictor of treatment response and patient outcome. Quantification of tumor heterogeneity across...
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Impact of PET and PET/CT Radiotracer for Evaluating Efficacy of CDK4/6 Inhibitor Therapy in HR-Positive HER2-Negative Metastatic Breast Cancer
Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors in combination with endocrine-therapy have emerged as an important regimen of care for estrogen...
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A Digitally Controlled Delay Generator Implemented with Cyclone V FPGA Using Timing Analysis
A digital delay generator can have a wide range and high resolution if divided into coarse and fine parts. In this paper, the implementation of a...
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Quantitative Analysis of Brain 18F-fluordesoxyglucose and Early-Phase 18F-florbetapir Positron Emission Tomography
Positron emission tomography (PET) with amyloid binding tracers and 18F-fluordesoxyglucose (FDG) is used in the diagnosis of Alzheimer’s disease and...
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An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques
The current research introduces a deep learning methodology utilizing Convolutional Neural Networks (CNNs) for the categorization of laryngeal...
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Identify Complex Higher-Order Associations Between Alzheimer’s Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis
To unravel complex genetic mechanisms in genetics, sparse multi-view canonical correlation analysis (SMCCA) and its variants have been widely used to...