AIMC Topic: Phantoms, Imaging

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Accelerated EPR imaging using deep learning denoising.

Magnetic resonance in medicine Jul 1, 2025
PURPOSE: Trityl OXO71-based pulse electron paramagnetic resonance imaging (EPRI) is an excellent technique to obtain partial pressure of oxygen (pO) maps in tissues. In this study, we used deep learning techniques to denoise 3D EPR amplitude and pO m...
Oxygen Signal-To-Noise Ratio Electron Spin Resonance Spectroscopy Phantoms, Imaging Fibrosarcoma Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Algorithms Animals Deep Learning
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Machine learning-based multi-pool Voigt fitting of CEST, rNOE, and MTC in Z-spectra.

Magnetic resonance in medicine Jul 1, 2025
PURPOSE: Four-pool Voigt (FPV) machine learning (ML)-based fitting for Z-spectra was developed to reduce fitting times for clinical feasibility in terms of on-scanner analysis and to promote larger cohort studies. The approach was compared to four-po...
Machine Learning Algorithms Brain Least-Squares Analysis Reproducibility of Results Humans Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Learning-based motion artifact correction in the Z-spectral domain for chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Jul 1, 2025
PURPOSE: To develop and evaluate a physics-driven, saturation contrast-aware, deep-learning-based framework for motion artifact correction in CEST MRI.
Brain Neoplasms Phantoms, Imaging Brain Deep Learning Movement Magnetic Resonance Imaging Image Processing, Computer-Assisted Computer Simulation Humans Motion Adult Neural Networks, Computer Artifacts Algorithms
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Deep Learning to Localize Photoacoustic Sources in Three Dimensions: Theory and Implementation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 1, 2025
Surgical tool tip localization and tracking are essential components of surgical and interventional procedures. The cross sections of tool tips can be considered as acoustic point sources to achieve these tasks with deep learning applied to photoacou...
Phantoms, Imaging Photoacoustic Techniques Algorithms Animals Deep Learning Imaging, Three-Dimensional
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Fine-Tuning Deep Learning Model for Quantitative Knee Joint Mapping With MR Fingerprinting and Its Comparison to Dictionary Matching Method: Fine-Tuning Deep Learning Model for Quantitative MRF.

NMR in biomedicine Jun 1, 2025
Magnetic resonance fingerprinting (MRF), as an emerging versatile and noninvasive imaging technique, provides simultaneous quantification of multiple quantitative MRI parameters, which have been used to detect changes in cartilage composition and str...
Male Deep Learning Magnetic Resonance Imaging Knee Joint Phantoms, Imaging Neural Networks, Computer Female Adult Humans
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Combining Deep Data-Driven and Physics-Inspired Learning for Shear Wave Speed Estimation in Ultrasound Elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 1, 2025
The shear wave elastography (SWE) provides quantitative markers for tissue characterization by measuring the shear wave speed (SWS), which reflects tissue stiffness. SWE uses an acoustic radiation force pulse sequence to generate shear waves that pro...
Humans Liver Phantoms, Imaging Elasticity Imaging Techniques Algorithms Deep Learning Image Processing, Computer-Assisted
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Lag-Net: Lag correction for cone-beam CT via a convolutional neural network.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Due to the presence of charge traps in amorphous silicon flat-panel detectors, lag signals are generated in consecutively captured projections. These signals lead to ghosting in projection images and severe lag artifacts in ...
Humans Artifacts Phantoms, Imaging Neural Networks, Computer Convolutional Neural Networks Algorithms Cone-Beam Computed Tomography Deep Learning Image Processing, Computer-Assisted
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A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 1, 2025
Sparse arrays offer several advantages over other element reduction techniques for 3-D ultrasound imaging. However, the large interelement spacing in these arrays results in high sidelobe-related artifacts, which significantly degrade image quality a...
Imaging, Three-Dimensional Artifacts Phantoms, Imaging Algorithms Deep Learning Ultrasonography Reinforcement Machine Learning Humans
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Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?

The British journal of radiology Jun 1, 2025
OBJECTIVES: To investigate the impacts of a deep learning-based iterative reconstruction algorithm on image quality and measuring accuracy of bone mineral density (BMD) in low-dose chest CT.
Bone Density Tomography, X-Ray Computed Female Humans Algorithms Radiation Dosage Middle Aged Signal-To-Noise Ratio Deep Learning Aged Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Adult Phantoms, Imaging Male
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Ultra-Sparse-View Cone-Beam CT Reconstruction-Based Strictly Structure-Preserved Deep Neural Network in Image-Guided Radiation Therapy.

IEEE transactions on medical imaging Jun 1, 2025
Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage cone-beam CT (CBCT) images have been acquired for most treatment sites as the clinical routine for image-guided radiation therapy (IGRT). However, repeated CBCT...
Phantoms, Imaging Radiotherapy, Image-Guided Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Neural Networks, Computer
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