AIMC Topic: Respiration

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Contactless monitoring of human respiration using infrared thermography and deep learning.

Physiological measurement Mar 17, 2022
. To monitor the human respiration rate (RR) using infrared thermography (IRT) and artificial intelligence, in a completely contactless, automated, and non-invasive manner.. The human breathing signals (BS) were obtained using IRT, by plotting the ch...
Humans Respiration Thermography Respiratory Rate Artificial Intelligence Deep Learning
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Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression.

Sensors (Basel, Switzerland) Nov 15, 2021
Non-contact physiological measurements have been under investigation for many years, and among these measurements is non-contact spirometry, which could provide acute and chronic pulmonary disease monitoring and diagnosis. This work presents a feasib...
Exhalation Humans Artificial Intelligence Respiratory Rate Respiration Spirometry
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Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks.

Medical physics Oct 26, 2021
PURPOSE: To enable real-time adaptive magnetic resonance imaging-guided radiotherapy (MRIgRT) by obtaining time-resolved three-dimensional (3D) deformation vector fields (DVFs) with high spatiotemporal resolution and low latency (  ms). Theory and M...
Motion Respiration Phantoms, Imaging Retrospective Studies Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer
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Few-shot learning for deformable image registration in 4DCT images.

The British journal of radiology Oct 18, 2021
OBJECTIVES: To develop a rapid and accurate 4D deformable image registration (DIR) approach for online adaptive radiotherapy.
Radiotherapy, Image-Guided Four-Dimensional Computed Tomography Exhalation Inhalation Lung Deep Learning Radiotherapy Planning, Computer-Assisted Respiration Time Factors Humans
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Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regression.

Medical & biological engineering & computing Oct 15, 2021
PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the breathing pattern of a patient. Therefore, the tracking error in each patient must be determined. Support vector regression (SVR) can be used to easily ...
Humans Respiration Radiosurgery Respiratory System Algorithms Robotics
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Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs.

International journal of computer assisted radiology and surgery Aug 10, 2021
PURPOSE: Fast helical free-breathing CT (FHFBCT) scans are widely used for 5DCT and 5D Cone Beam imaging protocols. For quantitative analysis of lung physiology and function, it is important to segment the lung lobes in these scans. Since the 5DCT pr...
Respiration Lung Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Free-breathing Accelerated Cardiac MRI Using Deep Learning: Validation in Children and Young Adults.

Radiology Jun 15, 2021
Background Obtaining ventricular volumetry and mass is key to most cardiac MRI but challenged by long multibreath-hold acquisitions. Purpose To assess the image quality and performance of a highly accelerated, free-breathing, two-dimensional cine car...
Child, Preschool Child Respiration Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Male Deep Learning Female Cardiovascular Diseases Adolescent Adult
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Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy.

International journal of computer assisted radiology and surgery Jun 10, 2021
PURPOSE: Respiratory motion of thoracic organs poses a severe challenge for the administration of image-guided radiotherapy treatments. Providing online and up-to-date volumetric information during free breathing can improve target tracking, ultimate...
Magnetic Resonance Imaging Radiotherapy, Image-Guided Ultrasonography Respiration Humans Imaging, Three-Dimensional Neural Networks, Computer Thoracic Neoplasms
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Non-Contact Respiration Measurement Method Based on RGB Camera Using 1D Convolutional Neural Networks.

Sensors (Basel, Switzerland) May 15, 2021
Conventional respiration measurement requires a separate device and/or can cause discomfort, so it is difficult to perform routinely, even for patients with respiratory diseases. The development of contactless respiration measurement technology would...
Cluster Analysis Female Humans Respiration Male Neural Networks, Computer
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Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.

BMC medical imaging May 8, 2021
BACKGROUND: Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentati...
Lung Neoplasms Case-Control Studies Neural Networks, Computer Cystic Fibrosis Deep Learning Magnetic Resonance Imaging Lung Humans Respiration Pneumonia
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