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Improved 2-D Chest CT Image Enhancement With Multi-Level VGG Loss
Improved 2-D Chest CT Image Enhancement With Multi-Level VGG Loss
Chest CT scans play an important role in diagnosing abnormalities associated with the lungs, such as tuberculosis, sarcoid...
By Any Other Name: Searching for the Right Plasma Nomenclature
By Any Other Name: Searching for the Right Plasma Nomenclature
Nonthermal plasma, cold plasma, and atmospheric-pressure plasma are few terms used to describe the plasma used in plasma m...
BTMuda: A Bi-Level Multisource Unsupervised Domain Adaptation Framework for Breast Cancer Diagnosis
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Synthetic CT Generation via Variant Invertible Network for Brain PET Attenuation Correction
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Finite Element Method-Based Hybrid MRI/CBCT Generation to Improve Liver Stereotactic Body Radiation Therapy Targets Localization Accuracy
Finite Element Method-Based Hybrid MRI/CBCT Generation to Improve Liver Stereotactic Body Radiation Therapy Targets Localization Accuracy
Cone-beam CT (CBCT) is commonly used in treatment imaging, but its limited soft tissue contrast presents challenges for li...
TlCl:Be,I: A High Sensitivity Scintillation and Cherenkov Radiator for TOF-PET
TlCl:Be,I: A High Sensitivity Scintillation and Cherenkov Radiator for TOF-PET
The material requirements for gamma-ray detectors for medical imaging applications are multifold and sensitivity is often ...
Dedicated 3D-Printed Radioactive Phantoms With ¹⁸F-FDG for Ultrahigh-Resolution PET
Dedicated 3D-Printed Radioactive Phantoms With ¹⁸F-FDG for Ultrahigh-Resolution PET
This study explores the potential of digital light processing to 3-D print radioactive phantoms for high-resolution positr...
Gamma-Ray Position-of-Interaction Estimation in a Thick Monolithic LaBr3 Detector Using Artificial Neural Networks
Gamma-Ray Position-of-Interaction Estimation in a Thick Monolithic LaBr3 Detector Using Artificial Neural Networks
Monolithic gamma-ray detectors can be used in single photon emission computed tomography systems for monitoring the delive...
A Time-Walk and Timing-Shift Correction Method for Dual-Ended Readout TOF-DOI PET Detectors
A Time-Walk and Timing-Shift Correction Method for Dual-Ended Readout TOF-DOI PET Detectors
Positron emission tomography (PET) detectors suffer from time-walk when the leading edge discriminator is employed for tim...
Enhancing Energy-Based Scatter Estimation Using Energy Spectra Modification in PET
Enhancing Energy-Based Scatter Estimation Using Energy Spectra Modification in PET
Energy-based scatter estimation methods have illustrated promising results in recent literature. Accurate estimation of en...
Clinical and Deep-Learned Evaluation of MR-Guided Self-Supervised PET Reconstruction
Clinical and Deep-Learned Evaluation of MR-Guided Self-Supervised PET Reconstruction
Reduced dose positron emission tomography (PET) lowers the radiation dose to patients and reduces costs. Lower-count data,...
Implementation of Photonic Crystals Into Davis LUT Module for GATE Simulation
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A Fast Plastic Scintillator for Low-Intensity Proton Beam Monitoring
A Fast Plastic Scintillator for Low-Intensity Proton Beam Monitoring
In the context of particle therapy monitoring, we are developing a gamma-ray detector to determine the ion range in vivo f...
Dual-Ended Readout PET Detector Based on Multivoltage Threshold Sampling Combined With Convolutional Neural Network for Energy Calculation
Dual-Ended Readout PET Detector Based on Multivoltage Threshold Sampling Combined With Convolutional Neural Network for Energy Calculation
To minimize parallax errors and achieve high spatial resolution positron emission tomography (PET) systems, developing dep...
Intercrystal Optical Crosstalk in Radiation Detectors: Monte Carlo Modeling and Experimental Validation
Intercrystal Optical Crosstalk in Radiation Detectors: Monte Carlo Modeling and Experimental Validation
High-performance radiation detectors often employ crystal arrays where light can leak between them, a phenomenon called in...
Deep-Learning-Based Cross-Modality Striatum Segmentation for Dopamine Transporter SPECT in Parkinson’s Disease
Deep-Learning-Based Cross-Modality Striatum Segmentation for Dopamine Transporter SPECT in Parkinson’s Disease
Striatum segmentation on dopamine transporter (DaT) SPECT is necessary to quantify striatal uptake for Parkinson’s disease...
Comparative Analysis of Data Acquisition Setups for Fast Timing in ToF-PET Applications
Comparative Analysis of Data Acquisition Setups for Fast Timing in ToF-PET Applications
The signal-to-noise ratio in positron emission tomography (PET) improves with precise timing resolution. PET systems enabl...
Building a Kinetic Induced Voxel-Clustering Filter (KVCF) for Low-Dose Perfusion CT Imaging
Building a Kinetic Induced Voxel-Clustering Filter (KVCF) for Low-Dose Perfusion CT Imaging
Dynamic cerebral perfusion CT (PCT) is an effective imaging technique for the clinical diagnosis and therapy guidance of m...
Temporal Image Sequence Separation in Dual-Tracer Dynamic PET With an Invertible Network
Temporal Image Sequence Separation in Dual-Tracer Dynamic PET With an Invertible Network
Positron emission tomography (PET) is a widely used functional imaging technique in clinic. Compared to single-tracer PET,...
Pyramid Convolutional Recurrent Network for Serial Medical Image Registration With Adaptive Motion Regularizations
Pyramid Convolutional Recurrent Network for Serial Medical Image Registration With Adaptive Motion Regularizations
Objective: Serial medical image registration plays an important role in radiation therapy treatment planning. However, cur...
Performance Evaluation of a Mobile Digital Tomosynthesis System Using a Moving CNT-Based Tube Array for Extremity Scans
Performance Evaluation of a Mobile Digital Tomosynthesis System Using a Moving CNT-Based Tube Array for Extremity Scans
Digital tomosynthesis (DTS) can enhance diagnostic accuracy by providing 3-D volume images with a remarkably low-X-ray dos...
First Results of the 4D-PET Brain System
First Results of the 4D-PET Brain System
Positron emission tomography (PET) imaging is the molecular technique of choice for studying many illnesses, including the...
PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models
PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models
Diffusion and Poisson flow models have shown impressive performance in a wide range of generative tasks, including low-dos...
Toward Sub-100 ps TOF-PET Systems Employing the FastIC ASIC With Analog SiPMs
Toward Sub-100 ps TOF-PET Systems Employing the FastIC ASIC With Analog SiPMs
Time of Flight positron emission tomography (TOF-PET) scanners demand electronics that are power-efficient, low-noise, cos...
Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network
Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network
Background: Automated segmentation of multimodality positron emission tomography—computed tomography (PET-CT) data is a ma...
Activity Alterations of 37 Tyrosine Kinase Inhibitors Upon kINPen Plasma Exposure in A549 Lung Cancer Cells
Activity Alterations of 37 Tyrosine Kinase Inhibitors Upon kINPen Plasma Exposure in A549 Lung Cancer Cells
Cold physical plasma shows promising preclinical results as an anticancer strategy. The technology generates a variety of ...
Simulation Study of Clinical PET Scanners With Different Geometries, Including TOF and DOI Capabilities
Simulation Study of Clinical PET Scanners With Different Geometries, Including TOF and DOI Capabilities
Total body positron emission tomography (TB-PET) scanners provide high-quality images due to the large sensitivity. Our mo...
The Software System of a Dedicated Brain PET Scanner Using Dual-Ended Readout Detectors With High-DOI Resolution
The Software System of a Dedicated Brain PET Scanner Using Dual-Ended Readout Detectors With High-DOI Resolution
A dedicated brain positron emission tomography (PET) scanner can achieve higher-spatial resolution, sensitivity, and cost-...
Attenuation Correction of the Cerebellum in PET/MR Data
Attenuation Correction of the Cerebellum in PET/MR Data
Attenuation correction (AC) is essential for achieving artefact-free PET/MR images. Many PET studies use the cerebellum as...
Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT
Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT
This study aims to investigate robust attenuation correction (AC) by generating attenuation maps $(\mu $ -maps) from non...
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