AIMC Topic: Tomography, X-Ray Computed

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Prior-FOVNet: A Multimodal Deep Learning Framework for Megavoltage Computed Tomography Truncation Artifact Correction and Field-of-View Extension.

Sensors (Basel, Switzerland) Dec 25, 2024
Megavoltage computed tomography (MVCT) plays a crucial role in patient positioning and dose reconstruction during tomotherapy. However, due to the limited scan field of view (sFOV), the entire cross-section of certain patients may not be fully covere...
Image Processing, Computer-Assisted Humans Artifacts Algorithms Phantoms, Imaging Tomography, X-Ray Computed Deep Learning
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Predicting lymph node metastasis in thyroid cancer: systematic review and meta-analysis on the CT/MRI-based radiomics and deep learning models.

Clinical imaging Dec 24, 2024
BACKGROUND: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lymph node metastasis (LNM) a critical factor for recurrence and survival. Radiomics and deep learning (DL) advancements offer the potential for improved...
Deep Learning Thyroid Neoplasms Lymphatic Metastasis Magnetic Resonance Imaging Humans Tomography, X-Ray Computed Sensitivity and Specificity Radiomics
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Mask R-CNN assisted diagnosis of spinal tuberculosis.

Journal of X-ray science and technology Dec 24, 2024
The prevalence of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inadequate medical conditions. This not only leads to misdiagnosis and delays in treatment progress but also contributes to the continued transmission of t...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Tomography, X-Ray Computed Tuberculosis, Spinal
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Prognostic value of a composite physiologic index developed by adding bronchial and hyperlucent volumes quantified via artificial intelligence technology.

Respiratory research Dec 24, 2024
BACKGROUND: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI...
Middle Aged Cohort Studies Idiopathic Pulmonary Fibrosis Bronchi Lung Diseases, Interstitial Respiratory Function Tests Female Aged Male Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Artificial Intelligence
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Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network.

BMC medical informatics and decision making Dec 24, 2024
BACKGROUND: The detection and classification of lung nodules are crucial in medical imaging, as they significantly impact patient outcomes related to lung cancer diagnosis and treatment. However, existing models often suffer from mode collapse and po...
Solitary Pulmonary Nodule Supervised Machine Learning Neural Networks, Computer Tomography, X-Ray Computed Lung Neoplasms Humans
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The role of artificial intelligence in the diagnosis, imaging, and treatment of thoracic empyema.

Current opinion in pulmonary medicine Dec 23, 2024
PURPOSE OF REVIEW: The management of thoracic empyema is often complicated by diagnostic delays, recurrence, treatment failures and infections with antibiotic resistant bacteria. The emergence of artificial intelligence (AI) in healthcare, particular...
Humans Artificial Intelligence Tomography, X-Ray Computed Decision Support Systems, Clinical Antimicrobial Stewardship Empyema, Pleural Machine Learning Algorithms Anti-Bacterial Agents
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Humans Aged Middle Aged Artificial Intelligence Tomography, X-Ray Computed Male Heart Ventricles Risk Assessment Prognosis Female Vascular Calcification Deep Learning Asymptomatic Diseases
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Idiopathic Pulmonary Fibrosis Retrospective Studies Male Female Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Middle Aged Reproducibility of Results Lung Diseases, Interstitial Humans Aged Lung Deep Learning Respiratory Function Tests Generative Adversarial Networks
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Image quality assessment of artificial intelligence iterative reconstruction for low dose unenhanced abdomen: comparison with hybrid iterative reconstruction.

Abdominal radiology (New York) Dec 21, 2024
OBJECTIVES: To assess the impact of artificial intelligence iterative reconstruction algorithms (AIIR) on image quality with phantom and clinical studies.
Female Aged Aged, 80 and over Adult Artificial Intelligence Algorithms Tomography, X-Ray Computed Radiation Dosage Signal-To-Noise Ratio Phantoms, Imaging Humans Radiography, Abdominal Male Middle Aged Radiographic Image Interpretation, Computer-Assisted
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Deep learning model for automated detection of fresh and old vertebral fractures on thoracolumbar CT.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Dec 21, 2024
PURPOSE: To develop a deep learning system for automatic segmentation of compression fracture vertebral bodies on thoracolumbar CT and differentiate between fresh and old fractures.
Middle Aged Deep Learning Thoracic Vertebrae Female Fractures, Compression Aged Humans Lumbar Vertebrae Aged, 80 and over Spinal Fractures Prospective Studies Male Tomography, X-Ray Computed
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