AIMC Topic: Tomography

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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...
Wearable Electronic Devices Gestures Support Vector Machine Young Adult Adult Male Pattern Recognition, Automated Forearm Tomography Equipment Design Wrist Electric Impedance Humans Machine Learning Algorithms Female
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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...
Phantoms, Imaging Tomography Image Processing, Computer-Assisted Feasibility Studies Deep Learning Electric Impedance
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Artificial skin through super-sensing method and electrical impedance data from conductive fabric with aid of deep learning.

Scientific reports Jun 20, 2019
Sense of touch is a major part of man's communication with their environment. Artificial skins can help robots to have the same sense of touch, especially for their social interactions. This paper presents a pressure mapping sensing using piezo-resis...
Electric Conductivity Touch Perception Tomography Deep Learning Robotics Electric Impedance Skin, Artificial Textiles Humans Algorithms
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A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation.

IEEE transactions on medical imaging Jun 10, 2019
In an inhomogeneously illuminated photoacoustic image, important information like vascular geometry is not readily available, when only the initial pressure is reconstructed. To obtain the desired information, algorithms for image segmentation are of...
Algorithms Image Processing, Computer-Assisted Phantoms, Imaging Neural Networks, Computer Photoacoustic Techniques Tomography
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Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Jan 9, 2019
OBJECTIVE: Deep learning has recently been applied to electrical impedance tomography (EIT) imaging. Nevertheless, there are still many challenges that this approach has to face, e.g., targets with sharp corners or edges cannot be well recovered when...
Heart Electric Impedance Phantoms, Imaging Tomography Lung Deep Learning Image Processing, Computer-Assisted Humans
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Slit Lamp Microscopy Humans Artificial Intelligence Retrospective Studies Female Adult Sensitivity and Specificity Keratoconus Keratomileusis, Laser In Situ Corneal Topography Middle Aged Dilatation, Pathologic Tomography Diagnostic Techniques, Ophthalmological Case-Control Studies Cornea Corneal Pachymetry Male ROC Curve
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Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks.

IEEE transactions on nanobioscience Jun 7, 2018
Mammography is the most popular technology used for the early detection of breast cancer. Manual classification of mammogram images is a hard task because of the variability of the tumor. It yields a noteworthy number of patients being called back to...
Mammography Image Interpretation, Computer-Assisted Tomography Female Breast Neoplasms Imaging, Three-Dimensional Humans Neural Networks, Computer
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Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks.

IEEE transactions on medical imaging Apr 27, 2018
The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathe...
Lung Deep Learning Electric Impedance Humans Algorithms Computer Simulation Tomography Radiography, Thoracic Phantoms, Imaging Fourier Analysis
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Stroke localization and classification using microwave tomography with k-means clustering and support vector machine.

Bioelectromagnetics Mar 25, 2018
For any chance for stroke patients to survive, the stroke type should be classified to enable giving medication within a few hours of the onset of symptoms. In this paper, a microwave-based stroke localization and classification framework is proposed...
Image Processing, Computer-Assisted Stroke Support Vector Machine Microwaves Cluster Analysis Tomography
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A novel post-processing scheme for two-dimensional electrical impedance tomography based on artificial neural networks.

PloS one Dec 5, 2017
OBJECTIVE: Electrical Impedance Tomography (EIT) is a powerful non-invasive technique for imaging applications. The goal is to estimate the electrical properties of living tissues by measuring the potential at the boundary of the domain. Being safe w...
Humans Electric Impedance Neural Networks, Computer Phantoms, Imaging Tomography
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