AIMC Topic: Tomography

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Prediction of femoral strength of elderly men based on quantitative computed tomography images using machine learning.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Apr 7, 2022
Hip fracture is the most common complication of osteoporosis, and its major contributor is compromised femoral strength. This study aimed to develop practical machine learning models based on clinical quantitative computed tomography (QCT) images for...
Machine Learning Aged Humans Tomography
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Reconstruction of Organ Boundaries With Deep Learning in the D-Bar Method for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Feb 18, 2021
OBJECTIVE: Medical electrical impedance tomography is a non-ionizing imaging modality in which low-amplitude, low-frequency currents are applied on electrodes on the body, the resulting voltages are measured, and an inverse problem is solved to deter...
Electric Impedance Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Algorithms Tomography
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Deep learning algorithms for brain disease detection with magnetic induction tomography.

Medical physics Dec 18, 2020
PURPOSE: In order to improve the reconstruction accuracy of magnetic induction tomography (MIT) and achieve fast imaging especially in the detection of cerebral hemorrhage, artificial intelligence algorithms are proposed to improve the accuracy of MI...
Algorithms Brain Humans Artificial Intelligence Magnetic Phenomena Brain Diseases Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Tomography
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A deep neural network for estimating the bladder boundary using electrical impedance tomography.

Physiological measurement Dec 18, 2020
OBJECTIVE: Accurate bladder size estimation is an important clinical parameter that assists physicians, enabling them to provide better treatment for patients who are suffering from urinary incontinence. Electrical impedance tomography (EIT) is a non...
Electric Impedance Urinary Bladder Tomography Neural Networks, Computer Algorithms Humans
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Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning.

Translational vision science & technology Dec 18, 2020
PURPOSE: To assess the use of deep learning for high-performance image classification of color-coded corneal maps obtained using a Scheimpflug camera.
Deep Learning Keratoconus Refractive Surgical Procedures Tomography Humans Cornea
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Ultrasound transmission tomography image reconstruction with a fully convolutional neural network.

Physics in medicine and biology Nov 27, 2020
Image reconstruction of ultrasound computed tomography based on the wave equation is able to show much more structural details than simpler ray-based image reconstruction methods. However, to invert the wave-based forward model is computationally dem...
Ultrasonic Waves Tomography Neural Networks, Computer Phantoms, Imaging Image Processing, Computer-Assisted
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Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for photoacoustic (PA) signals require a large number of data points for accura...
Transducers Tomography Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Photoacoustic Techniques
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Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

IEEE transactions on medical imaging Oct 28, 2020
Label free imaging of oxygenation distribution in tissues is highly desired in numerous biomedical applications, but is still elusive, in particular in sub-epidermal measurements. Eigenspectra multispectral optoacoustic tomography (eMSOT) and its Bay...
Bayes Theorem Deep Learning Oxygen Photoacoustic Techniques Mice Animals Tomography
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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography.

Journal of visualized experiments : JoVE Aug 16, 2020
Brain metastases are the most lethal cancer lesions; 10-30% of all cancers metastasize to the brain, with a median survival of only ~5-20 months, depending on the cancer type. To reduce the brain metastatic tumor burden, gaps in basic and translation...
Animals Tumor Microenvironment Lab-On-A-Chip Devices Humans Brain Neoplasms Tomography Mice Machine Learning
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Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis.

Physiological measurement Aug 11, 2020
OBJECTIVE: Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm can be successfull...
Tomography Algorithms Image Processing, Computer-Assisted Humans Support Vector Machine Machine Learning Electric Impedance Stroke Finite Element Analysis
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