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Thorax

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Impact of robotics and a suspended lead suit on physician radiation exposure during percutaneous coronary intervention.

Cardiovascular revascularization medicine : including molecular interventions Dec 16, 2016
BACKGROUND: Reports of left-sided brain malignancies among interventional cardiologists have heightened concerns regarding physician radiation exposure. This study evaluated the impact of a suspended lead suit and robotic system on physician radiatio...
Risk Factors Risk Assessment Thorax Time Factors Radiation Exposure Occupational Exposure Radiation Monitoring Logistic Models Radiation Protection Protective Clothing Lead Radiation Dosimeters Robotics Coronary Angiography Head Equipment Design Humans Radiation Dosage Percutaneous Coronary Intervention Multivariate Analysis Physicians Linear Models Radiography, Interventional Prospective Studies
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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

International journal of computer assisted radiology and surgery Oct 28, 2016
PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3...
Tomography, X-Ray Computed Lung Diagnosis, Computer-Assisted Imaging, Three-Dimensional Image Processing, Computer-Assisted Support Vector Machine Bronchoscopy Organ Size Humans Bronchi Machine Learning Lung Diseases Algorithms Automation Thorax
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Robot-assisted walking with the Lokomat: the influence of different levels of guidance force on thorax and pelvis kinematics.

Clinical biomechanics (Bristol, Avon) Jan 30, 2015
BACKGROUND: Little attention has been devoted to the thorax and pelvis movements during gait. The aim of this study is to compare differences in the thorax and pelvis kinematics during unassisted walking on a treadmill and during walking with robot a...
Movement Gait Body Weight Thorax Humans Robotics Pelvis Exercise Test Female Walking Adult Biomechanical Phenomena Male
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Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

Journal of applied clinical medical physics Jan 8, 2015
The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be patient-dependent because the SRTS relies on an individual correlation between the internal tumor position (ITP) and the external marker position (EMP), a...
Radiotherapy, Image-Guided Radiotherapy Setup Errors Respiratory-Gated Imaging Techniques Patient Positioning Phantoms, Imaging Middle Aged Movement Female Lung Neoplasms Radiotherapy Dosage Aged Robotics Radiotherapy, Intensity-Modulated Humans Aged, 80 and over Radiotherapy Planning, Computer-Assisted Thorax Software Male Radiosurgery Algorithms
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Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging.

IEEE transactions on medical imaging Aug 1, 2024
Accurate motion estimation at high acceleration factors enables rapid motion-compensated reconstruction in Magnetic Resonance Imaging (MRI) without compromising the diagnostic image quality. In this work, we introduce an attention-aware deep learning...
Humans Algorithms Heart Artifacts Thorax Movement Adult Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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[Research of electrical impedance tomography based on multilayer artificial neural network optimized by Hadamard product for human-chest models].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2024
Electrical impedance tomography (EIT) is a non-radiation, non-invasive visual diagnostic technique. In order to improve the imaging resolution and the removing artifacts capability of the reconstruction algorithms for electrical impedance imaging in ...
Thorax Tomography Lung Image Processing, Computer-Assisted Electric Impedance Humans Neural Networks, Computer Algorithms
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DKCNN: Improving deep kernel convolutional neural network-based COVID-19 identification from CT images of the chest.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: An efficient deep convolutional neural network (DeepCNN) is proposed in this article for the classification of Covid-19 disease.
Humans Image Processing, Computer-Assisted Coronavirus Infections Algorithms Neural Networks, Computer Pneumonia, Viral Tomography, X-Ray Computed Thorax Pandemics SARS-CoV-2 Betacoronavirus COVID-19 Deep Learning
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Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis.

Radiology Nov 1, 2023
See also the editorial by Nikolic in this issue.
Radiography Ethnicity Thorax Humans Deep Learning
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COMBINING HI-RESOLUTION SCAN MODE WITH DEEP LEARNING RECONSTRUCTION ALGORITHMS IN CARDIAC CT.

Radiation protection dosimetry Jan 4, 2023
To investigate the impact of combining the high-resolution (Hi-res) scan mode with deep learning image reconstruction (DLIR) algorithm in CT. Two phantoms (Catphan600® and Lungman, small, medium, large size) were CT scanned using combinations of Hi-r...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Algorithms Radiation Dosage Thorax
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A densely connected LDCT image denoising network based on dual-edge extraction and multi-scale attention under compound loss.

Journal of X-ray science and technology Jan 1, 2023
BACKGROUND: Low dose computed tomography (LDCT) uses lower radiation dose, but the reconstructed images contain higher noise that can have negative impact in disease diagnosis. Although deep learning with the edge extraction operators reserves edge i...
Tomography, X-Ray Computed Thorax Neural Networks, Computer Algorithms
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