AIMC Topic: Tomography

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A biomimetic elastomeric robot skin using electrical impedance and acoustic tomography for tactile sensing.

Science robotics Jun 8, 2022
Human skin perceives physical stimuli applied to the body and mitigates the risk of physical interaction through its soft and resilient mechanical properties. Social robots would benefit from whole-body robotic skin (or tactile sensors) resembling hu...
Acoustics Hydrogels Humans Robotics Touch Tomography Biomimetics Electric Impedance
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Challenges and advances in optical 3D mesoscale imaging.

Journal of microscopy May 5, 2022
Optical mesoscale imaging is a rapidly developing field that allows the visualisation of larger samples than is possible with standard light microscopy, and fills a gap between cell and organism resolution. It spans from advanced fluorescence imaging...
Imaging, Three-Dimensional Microscopy Optical Imaging Tomography Artificial Intelligence
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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...
Humans Tomography Machine Learning Aged
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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...
Deep Learning Image Processing, Computer-Assisted Algorithms Tomography Electric Impedance Phantoms, Imaging
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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...
Tomography Brain Diseases Phantoms, Imaging Brain Deep Learning Artificial Intelligence Image Processing, Computer-Assisted Humans Algorithms Magnetic Phenomena
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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...
Tomography Neural Networks, Computer Algorithms Electric Impedance Urinary Bladder 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.
Cornea Deep Learning Tomography Humans Keratoconus Refractive Surgical Procedures
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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 Phantoms, Imaging Tomography Neural Networks, Computer 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...
Tomography Photoacoustic Techniques Transducers Image Processing, Computer-Assisted Deep Learning Phantoms, Imaging
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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 Oxygen Photoacoustic Techniques Tomography Animals Deep Learning Mice
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