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Spectrum learning for super-resolution tomographic reconstruction
Spectrum learning for super-resolution tomographic reconstruction, Zirong Li, Kang An, Hengyong Yu, Fulin Luo, Jiayi Pan, ...
Robust, planning-based targeted locoregional tumour heating in small animals
Robust, planning-based targeted locoregional tumour heating in small animals, Jort A Groen, Johannes Crezee, Hanneke W M v...
HGCMorph: joint discontinuity-preserving and pose-learning via GNN and capsule networks for deformable medical images registration
Objective. This study aims to enhance medical image registration by addressing the limitations of existing ap...
A combined analytical and Monte Carlo method for detailed simulations of antiscatter grids in x-ray medical imaging: implementing scatter within the grid
Objective. To implement a hybrid method, which combines analytical tracking and interaction simulation using ...
Sliding transformer with uncertainty estimation for vestibular schwannoma automatic segmentation
Objective. Automated segmentation of vestibular schwannoma (VS) using magnetic resonance imaging (MRI) can en...
First experimental time-of-flight-based proton radiography using low gain avalanche diodes
In ion beam therapy, the quality of dose and range calculations strongly depends on precise knowledge of the tissue compos...
Self-supervised dual-domain balanced dropblock-network for low-dose CT denoising
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Polyp segmentation with interference filtering and dynamic uncertainty mining
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Measurement of the 12C(p,n)12N reaction cross section below 150 MeV
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Determination of lutetium density in LYSO crystals: methodology and PET detector applications
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PETformer network enables ultra-low-dose total-body PET imaging without structural prior
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Motion compensated cone-beam CT reconstruction using an a priori motion model from CT simulation: a pilot study
Paper ...
A blurring correction method suitable to analyze quantitative x-ray images derived from energy-resolving photon counting detector
Objective. The purpose of this study is to propose a novel blurring correction method that enables accurate q...
A carbon nanotube x-ray source array designed for a new multisource cone beam computed tomography scanner
Cone beam computed tomography (CBCT) is known to suffer from strong scatter and cone beam artifacts. The purp...
In situ tumor model for longitudinal in silico imaging trials
Three-dimensional (3D) digital breast tomosynthesis (DBT) is being considered as a prospective replacement for digital mam...
New optically stimulated luminescence dosimetry film optimized for energy dependence guided by Monte Carlo simulations
Optically stimulated luminescence (OSL) film dosimeters, based on BaFBr:Eu2+ phosphor material, have major do...
Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction
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Split-based elevational localization of photoacoustic guidewire tip by 1D array probe using spatial impulse response
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Validation of complex radiotherapy techniques using polymer gel dosimetry
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DRFNet: a deep radiomic fusion network for nAMD/PCV differentiation in OCT images
Paper ...
Highly robust reconstruction framework for three-dimensional optical imaging based on physical model constrained neural networks
Objective. The reconstruction of three-dimensional optical imaging that can quantitatively acquire the target...
Machine learning approach for proton range verification using real-time prompt gamma imaging with Compton cameras: addressing the total deposited energy information gap
Proton therapy offers precise tumor targeting by leveraging the maximum dose deposition at the end of proton trajectories,...
Nonlocal based FISTA network for noninvasive cardiac transmembrane potential imaging
Objective. The primary aim of our study is to advance our understanding and diagnosis of cardiac diseases. We...
Celiac disease diagnosis from endoscopic images based on multi-scale adaptive hybrid architecture model
Objective. Celiac disease (CD) has emerged as a significant global public health concern, exhibiting an estim...
Imaging and characterization of optical emission from ex vivo tissue during conventional and UHDR PBS proton therapy
Surface luminescence imaging allows for direct real-time optical visualization of treatment delivery during external beam ...
Automated target placement for VMAT lattice radiation therapy: enhancing efficiency and consistency
Objective. An algorithm was developed for automated positioning of lattice points within volumetric modulated...
MDT: semi-supervised medical image segmentation with mixup-decoupling training
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Synthetic CT imaging for PET monitoring in proton therapy: a simulation study
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A kV–MV approach to CBCT metal artifact reduction using multi-layer MV-CBCT
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Mutually enhanced multi-view information learning for segmentation of lung tumor in CT images
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