AIMC Topic: Respiration

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Detection of Multiple Respiration Patterns Based on 1D SNN from Continuous Human Breathing Signals and the Range Classification Method for Each Respiration Pattern.

Sensors (Basel, Switzerland) Jun 1, 2023
Human respiratory information is being used as an important source of biometric information that can enable the analysis of health status in the healthcare domain. The analysis of the frequency or duration of a specific respiration pattern and the cl...
Humans Respiration Respiratory Rate Recognition, Psychology Neural Networks, Computer Algorithms
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Deep learning-based markerless lung tumor tracking in stereotactic radiotherapy using Siamese networks.

Medical physics May 23, 2023
BACKGROUND: Radiotherapy (RT) is involved in about 50% of all cancer patients, making it a very important treatment modality. The most common type of RT is external beam RT, which consists of delivering the radiation to the tumor from outside the bod...
Lung Neoplasms Radiotherapy Planning, Computer-Assisted Deep Learning Cone-Beam Computed Tomography Radiosurgery Respiration Radiotherapy, Intensity-Modulated Humans
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Deep Learning-Accelerated Liver Diffusion-Weighted Imaging: Intraindividual Comparison and Additional Phantom Study of Free-Breathing and Respiratory-Triggering Acquisitions.

Investigative radiology May 19, 2023
OBJECTIVES: Deep learning-reconstructed diffusion-weighted imaging (DL-DWI) is an emerging promising time-efficient method for liver evaluation, but analyses regarding different motion compensation strategies are lacking. This study evaluated the qua...
Humans Reproducibility of Results Deep Learning Abdomen Liver Signal-To-Noise Ratio Respiration Diffusion Magnetic Resonance Imaging
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Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study.

Journal of clinical monitoring and computing May 13, 2023
Capnography monitors trigger high priority 'no breath' alarms when CO measurements do not exceed a given threshold over a specified time-period. False alarms occur when the underlying breathing pattern is stable, but the alarm is triggered when the C...
Hospitals Capnography Deep Learning Humans Carbon Dioxide Respiration
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Technical Advancements in Abdominal Diffusion-weighted Imaging.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Mar 15, 2023
Since its first observation in the 18th century, the diffusion phenomenon has been actively studied by many researchers. Diffusion-weighted imaging (DWI) is a technique to probe the diffusion of water molecules and create a MR image with contrast bas...
Respiration Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Motion Image Enhancement Reproducibility of Results Abdomen Artificial Intelligence
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Motion compensated self supervised deep learning for highly accelerated 3D ultrashort Echo time pulmonary MRI.

Magnetic resonance in medicine Feb 6, 2023
PURPOSE: To investigate motion compensated, self-supervised, model based deep learning (MBDL) as a method to reconstruct free breathing, 3D pulmonary UTE acquisitions.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Respiration Deep Learning Lung Motion Imaging, Three-Dimensional
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Free-breathing and instantaneous abdominal T mapping via single-shot multiple overlapping-echo acquisition and deep learning reconstruction.

European radiology Jan 24, 2023
OBJECTIVES: To develop a real-time abdominal T mapping method without requiring breath-holding or respiratory-gating.
Liver Respiration Humans Abdomen Deep Learning Phantoms, Imaging Magnetic Resonance Imaging
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Enhancing System Performance through Objective Feature Scoring of Multiple Persons' Breathing Using Non-Contact RF Approach.

Sensors (Basel, Switzerland) Jan 21, 2023
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. Various contact and non-contact-based methods are discussed in the literature for breathing monitoring. Radio frequency (RF)-based breathing monitoring...
Respiration Radio Waves Algorithms Humans Machine Learning Monitoring, Physiologic
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Deep learning for improving ZTE MRI images in free breathing.

Magnetic resonance imaging Jan 18, 2023
INTRODUCTION: Despite a growing interest in lung MRI, its broader use in a clinical setting remains challenging. Several factors limit the image quality of lung MRI, such as the extremely short T2 and T2* relaxation times of the lung parenchyma and c...
Image Interpretation, Computer-Assisted Retrospective Studies Respiration Deep Learning Magnetic Resonance Imaging Humans
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Compensation for respiratory motion-induced signal loss and phase corruption in free-breathing self-navigated cine DENSE using deep learning.

Magnetic resonance in medicine Jan 5, 2023
PURPOSE: To introduce a model that describes the effects of rigid translation due to respiratory motion in displacement encoding with stimulated echoes (DENSE) and to use the model to develop a deep convolutional neural network to aid in first-order ...
Myocardium Heart Artifacts Respiration Humans Deep Learning Magnetic Resonance Imaging, Cine
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