AIMC Topic: Tomography

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Multimodal information structuring with single-layer soft skins and high-density electrical impedance tomography.

Science robotics Jun 11, 2025
The human skin can reliably capture a wide range of multimodal data over a large surface while providing a soft interface. Artificial technologies using microelectromechanical systems (MEMS) can emulate these biological functions but present numerous...
Robotics Equipment Design Skin Humans Adult Touch Tomography Hand Hydrogels Electric Impedance
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AI-assisted diffuse correlation tomography for identifying breast cancer.

Journal of biomedical optics May 16, 2025
SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive measurement of breast microvascular blood flow, whereas its capability to categorize benign and malignant breast lesions has not been extensively validate...
Tomography Breast Image Interpretation, Computer-Assisted Female Aged Adult Humans Breast Neoplasms Artificial Intelligence Middle Aged Image Processing, Computer-Assisted Algorithms
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An explainable artificial intelligence framework for weaning outcomes prediction using features from electrical impedance tomography.

Computer methods and programs in biomedicine Apr 25, 2025
BACKGROUND: Prolonged mechanical ventilation (PMV) might cause ventilator-associated pneumonia and diaphragmatic injury, and may lead to worsening clinical weaning outcomes. The present study proposes a comprehensive machine learning (ML) framework f...
Humans Male Middle Aged Respiration, Artificial ROC Curve Electric Impedance Algorithms Ventilator Weaning Artificial Intelligence Tomography Female Machine Learning Aged
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Deep prior embedding method for Electrical Impedance Tomography.

Neural networks : the official journal of the International Neural Network Society Mar 31, 2025
This paper presents a novel deep learning-based approach for Electrical Impedance Tomography (EIT) reconstruction that effectively integrates image priors to enhance reconstruction quality. Traditional neural network methods often rely on random init...
Algorithms Computer Simulation Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Electric Impedance Tomography
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Physics Informed Neural Networks for Electrical Impedance Tomography.

Neural networks : the official journal of the International Neural Network Society Mar 23, 2025
Electrical Impedance Tomography (EIT) is an imaging modality used to reconstruct the internal conductivity distribution of a domain via boundary voltage measurements. In this paper, we present a novel EIT approach for integrated sensing of composite ...
Neural Networks, Computer Electric Impedance Tomography
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Deep learning aided determination of the optimal number of detectors for photoacoustic tomography.

Biomedical physics & engineering express Feb 7, 2025
Photoacoustic tomography (PAT) is a non-destructive, non-ionizing, and rapidly expanding hybrid biomedical imaging technique, yet it faces challenges in obtaining clear images due to limited data from detectors or angles. As a result, the methodology...
Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Artifacts Phantoms, Imaging Humans Photoacoustic Techniques Tomography
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Unrolled deep learning for breast cancer detection using limited-view photoacoustic tomography data.

Medical & biological engineering & computing Jan 25, 2025
Photoacoustic tomography (PAT) has emerged as a promising imaging modality for breast cancer detection, offering unique advantages in visualizing tissue composition without ionizing radiation. However, limited-view scenarios in clinical settings pres...
Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Photoacoustic Techniques Tomography Humans Algorithms
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A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography.

NeuroImage Jan 23, 2025
Magnetic resonance electrical properties tomography can extract the electrical properties of in-vivo tissue. To estimate tissue electrical properties, various reconstruction algorithms have been proposed. However, physics-based reconstructions are pr...
Image Processing, Computer-Assisted Algorithms Humans Magnetic Resonance Imaging Brain Neural Networks, Computer Tomography Deep Learning
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Deep proximal gradient network for absorption coefficient recovery in photoacoustic tomography.

Physics in medicine and biology Jan 22, 2025
The optical absorption properties of biological tissues in photoacoustic (PA) tomography are typically quantified by inverting acoustic measurements. Conventional approaches to solving the inverse problem of forward optical models often involve itera...
Photoacoustic Techniques Animals Tomography Signal-To-Noise Ratio Deep Learning Absorption Phantoms, Imaging Image Processing, Computer-Assisted
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Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator.

IEEE transactions on bio-medical engineering Jan 15, 2025
Magnetic resonance imaging (MRI) can estimate tissue conductivity values using phase-based magnetic resonance electrical properties tomography (MR-EPT). However, this method is prone to noise amplification due to the Laplacian operator's sensitivity....
Brain Deep Learning Image Processing, Computer-Assisted Humans Phantoms, Imaging Neural Networks, Computer Magnetic Resonance Imaging Tomography Algorithms Signal-To-Noise Ratio
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