AIMC Topic: 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...
Humans Mice Lab-On-A-Chip Devices Brain Neoplasms Tomography Animals Machine Learning Tumor Microenvironment
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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...
Support Vector Machine Stroke Electric Impedance Algorithms Image Processing, Computer-Assisted Finite Element Analysis Tomography Humans Machine Learning
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Neural network-based supervised descent method for 2D electrical impedance tomography.

Physiological measurement Aug 11, 2020
OBJECTIVE: In this work, we study the application of the neural network-based supervised descent method (NN-SDM) for 2D electrical impedance tomography.
Neural Networks, Computer Electric Impedance Tomography
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A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 25, 2020
Photoacoustic tomography (PAT) is a hybrid technique for high-resolution imaging of optical absorption in tissue. Among various transducer arrays proposed for PAT, the ring-shaped transducer array is widely used in cross-sectional imaging application...
Tomography, X-Ray Computed Deep Learning Photoacoustic Techniques Tomography Image Processing, Computer-Assisted Artifacts
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Electrical Impedance Tomography-Based Abdominal Subcutaneous Fat Estimation Method Using Deep Learning.

Computational and mathematical methods in medicine Jun 11, 2020
This paper proposes a deep learning method based on electrical impedance tomography (EIT) to estimate the thickness of abdominal subcutaneous fat. EIT for evaluating the thickness of abdominal subcutaneous fat is an absolute imaging problem that aims...
Humans Subcutaneous Fat, Abdominal Neural Networks, Computer Phantoms, Imaging Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Tomography Algorithms Deep Learning Electric Impedance Computational Biology Computer Simulation
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Artificial Intelligence in Multiphoton Tomography: Atopic Dermatitis Diagnosis.

Scientific reports May 14, 2020
The diagnostic possibilities of multiphoton tomography (MPT) in dermatology have already been demonstrated. Nevertheless, the analysis of MPT data is still time-consuming and operator dependent. We propose a fully automatic approach based on convolut...
Tomography Optical Imaging Dermatitis, Atopic Humans Artificial Intelligence ROC Curve Image Processing, Computer-Assisted Machine Learning
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Artificial Intelligence Pipeline for Risk Prediction in Cardiovascular Imaging.

Circulation. Cardiovascular imaging Feb 18, 2020
Hypertrophy, Left Ventricular Tomography Machine Learning Calcium Humans Artificial Intelligence
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An Optimal Electrical Impedance Tomography Drive Pattern for Human-Computer Interaction Applications.

IEEE transactions on biomedical circuits and systems Jan 20, 2020
In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern based on feature selection and model explanation, and proposed a portable EIT system for applications in human-computer interaction for gesture recognition a...
Humans Algorithms Gestures Machine Learning Electric Impedance Pattern Recognition, Automated Wrist Tomography Image Processing, Computer-Assisted Electromyography Signal Processing, Computer-Assisted Electrodes
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Combining deep learning and 3D contrast source inversion in MR-based electrical properties tomography.

NMR in biomedicine Dec 16, 2019
Magnetic resonance electrical properties tomography (MR-EPT) is a technique used to estimate the conductivity and permittivity of tissues from MR measurements of the transmit magnetic field. Different reconstruction methods are available; however, al...
Phantoms, Imaging Tomography Algorithms Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging
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Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography.

IEEE transactions on medical imaging Oct 22, 2019
Electrical impedance tomography (EIT) is an attractive technique that aims to reconstruct the unknown electrical property in a domain from the surface electrical measurements. In this work, the induced-current learning method (ICLM) is proposed to so...
Tomography Image Processing, Computer-Assisted Electric Impedance Neural Networks, Computer Tomography, X-Ray Computed
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