AIMC Topic: Tomography

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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...
Deep Learning Image Processing, Computer-Assisted Artifacts Tomography, X-Ray Computed Photoacoustic Techniques Tomography
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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...
Phantoms, Imaging Tomography Subcutaneous Fat, Abdominal Image Interpretation, Computer-Assisted Electric Impedance Algorithms Humans Computer Simulation Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Computational Biology
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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 Machine Learning ROC Curve Optical Imaging Dermatitis, Atopic Image Processing, Computer-Assisted Humans Artificial Intelligence
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Artificial Intelligence Pipeline for Risk Prediction in Cardiovascular Imaging.

Circulation. Cardiovascular imaging Feb 18, 2020
Humans Artificial Intelligence Machine Learning Tomography Calcium Hypertrophy, Left Ventricular
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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...
Electromyography Electrodes Electric Impedance Signal Processing, Computer-Assisted Wrist Pattern Recognition, Automated Tomography Humans Machine Learning Gestures Image Processing, Computer-Assisted Algorithms
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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...
Deep Learning Image Processing, Computer-Assisted Algorithms Tomography Magnetic Resonance Imaging Phantoms, 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 Neural Networks, Computer Image Processing, Computer-Assisted Electric Impedance Tomography, X-Ray Computed
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Development of a Wearable Electrical Impedance Tomographic Sensor for Gesture Recognition With Machine Learning.

IEEE journal of biomedical and health informatics Oct 4, 2019
A wearable electrical impedance tomographic (wEIT) sensor with 8 electrodes is developed to realize gesture recognition with machine learning algorithms. To optimize the wEIT sensor, gesture recognition rates are compared by using a series of electro...
Machine Learning Forearm Male Algorithms Tomography Young Adult Humans Wearable Electronic Devices Female Adult Gestures Support Vector Machine Electric Impedance Equipment Design Pattern Recognition, Automated Wrist
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Beltrami-net: domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT).

Physiological measurement Jul 23, 2019
OBJECTIVE: To develop, and demonstrate the feasibility of, a novel image reconstruction method for absolute electrical impedance tomography (a-EIT) that pairs deep learning techniques with real-time robust D-bar methods and examine the influence of p...
Tomography Deep Learning Electric Impedance Feasibility Studies Image Processing, Computer-Assisted Phantoms, Imaging
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