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...
Hand Hydrogels Electric Impedance Touch Tomography Humans Adult Robotics Equipment Design Skin
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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...
Image Interpretation, Computer-Assisted Tomography Middle Aged Image Processing, Computer-Assisted Breast Artificial Intelligence Algorithms Female Aged Adult Breast Neoplasms Humans
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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...
Female Aged Male Humans Artificial Intelligence Machine Learning Electric Impedance Algorithms Middle Aged Ventilator Weaning Respiration, Artificial Tomography ROC Curve
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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...
Photoacoustic Techniques Tomography Image Processing, Computer-Assisted Artifacts Humans Phantoms, Imaging Neural Networks, Computer Algorithms Deep Learning
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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...
Humans Deep Learning Image Processing, Computer-Assisted Photoacoustic Techniques Algorithms Female Breast Neoplasms Tomography
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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...
Magnetic Resonance Imaging Brain Humans Tomography Deep Learning Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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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...
Phantoms, Imaging Photoacoustic Techniques Tomography Absorption Deep Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Animals
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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....
Humans Phantoms, Imaging Neural Networks, Computer Tomography Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain Signal-To-Noise Ratio Deep Learning
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Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sound (SOS). Although full-waveform inversion (FWI) is an effective method for accurate SOS reconstruction, it can be computationally challenging for lar...
Breast Phantoms, Imaging Deep Learning Tomography Humans Algorithms Ultrasonography Tomography, X-Ray Computed Image Processing, Computer-Assisted Female
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Magnetic Resonance Electrical Properties Tomography Based on Modified Physics- Informed Neural Network and Multiconstraints.

IEEE transactions on medical imaging Sep 3, 2024
This paper presents a novel method based on leveraging physics-informed neural networks for magnetic resonance electrical property tomography (MREPT). MREPT is a noninvasive technique that can retrieve the spatial distribution of electrical propertie...
Phantoms, Imaging Tomography Animals Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Algorithms
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